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L dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. } dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.<<  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ? %e;Supplementary MaterialsAPackets Agenda Participant bios and pictures Slides Poster abstracts Annual report for 2005 Web Site Linked agenda Full participant bios Electronic (full-page) slides Publications Annual reports PDFs of Posters T o   $  $$((,,004488t\ , Graphical Agenda oThe VGrADS Team?VGrADS is an NSF-funded Information Technology Research project@?9L3VGrADS Vision: National Distributed Problem Solving44-Where We Want To Be Transparent Grid computing Submit job Find & schedule resources Execute efficiently Where We Are Low-level hand development What Do We Need? A more abstract view of the Grid Each developer sees a specialized  virtual grid Simplified programming models built on the abstract view Permit the application developer to focus on the problem9 !1999  !19  9$$TqThe Original GrADS Vision rLessons from GrADS$*Mapping and Scheduling for MPI Jobs is Hard Although we were able to do some interesting experiments Performance Model Construction is Hard Hybrid static/dynamic schemes are best Difficult for application developers to do by hand Heterogeneity is Hard We completely revised the launching mechanisms to support this Good scheduling is critical Rescheduling/Migration is Hard Requires application collaboration (generalized checkpointing) Requires performance modeling to determine profitability Scaling to Large Grids is Hard Scheduling becomes expensive ,P9P'PZPP[PPxPPP,9'Z  [x  $$pA 2F55 : YVGrADS Virtual Grid HierarchyVGrADS Project OverviewnVirtual Grid Abstraction and Virtual Grid Execution System (vgES) Application-level resource abstraction Application scheduling and management separated from management of complex Grid resource environment Permits true scalability and control Scalable search produces manageable resource set  Find and bind overcomes problems with local resource managers Virtual Grid Execution System enables simple resource management Supports fault tolerance, reasoning about app behavior, rescheduling Tools for Application Development Abstract programming interfaces Easy application scheduling, launch, and management Workflow graphs and tightly-coupled computations Support for Fault Tolerance and Rescheduling/Migration Collaboration between application and vgES Research Driven by Real Application Needs EMAN, LEAD, GridSAT, EOL fBP'PeP%PqPAPEP"PTP1P7P+P*PPPB'e%  qAE"T  1$$7((+,,*004488<b$%#*Architecture: vgES implements Virtual Grid++` &   Virtual Grid Approach_Separation of Concerns Application Planning and Management Complex Grid Resource Environment Mgmt => vgDL and Virtual Grid Scalable Selection and Binding Large Resource Pools Competitive, Dynamic Environments => Finding and Binding Application-Driven Resource Management Abstraction Level Grid Information => Virtual Grid Explicit Resource AbstractionK7'#.K  7'QProgramming ToolsFocus: Automating critical application-development steps: Initiating and managing application execution Optimize and launch application on heterogeneous resources Support for fault tolerance and rescheduling/migration Scheduling application workflows Whole-workflow scheduling using performance models Constructing performance models Automatically from application binaries Cross-platform modeling Building workflow graphs from high-level scripts Examples: Python (EMAN), Matlab:.r!3 (1 :.;6  !3 (  $$1(( ,,xVGrADS Applications Philosophy: Computer Science Research Driven by Applications EMAN Contruction of 3-D models from 2-D electron micrographs Talk by Charles Koelbel, Posters by Anirban Mandal and Bo Liu and by Gabriel Marin LEAD Collection of applications for real-time weather prediction, sponsored by NSF ITR Large Talk by Dan Reed, Poster by Emma Buneci GridSAT Satisfiability on the Grid EOL (Encyclopedia of Life) Reduced emphasis due to software issues = PP8PSPPXP(PPPP*P=8S  X'  $$((*,,B 9 $y."yVGrADS Education Graduate Education Graduate student support: 21 students Rice: 7; UCSB: 1; UCSD: 5; UH: 2; UNC: 4; USC: 1; UTK: 1 Cross-institution graduate student exchange Grid courses UCSD (Chien) and UCSB (Wolski) Undergraduate Education Internet and Grid Architectures Course Under development Underrepresented Groups Support for AGEP program Activities at Tapia and Hopper Conferences CS-CAMP "P&P9P9PPP'PPPLPP&9,  '  $$((*,,004488<<HoA ~OutreachWeb Site http://vgrads.rice.edu/ Conferences and Talks CCGrid and HPDC papers Invited addresses Application Collaborations Participation at SC Conferences Demonstrations of two applications )<#    #  b<#jVGrADS Demos at SC04EMAN - Electron Microscopy Analysis [Rice, Houston] 3D reconstruction of particles from electron micrographs Workflow scheduling and performance prediction to optimize mapping&4|4| GridSAT - Boolean Satisfiability [UCSB] Classic NP-complete problem useful in circuit design and verification Performance-based dynamic resource allocation and scheduling :(($ zLeverageNMI Community infrastructure that can be counted on Vehicle for deployment of successful research Outlet for technology State of Texas Support LEARN: Support for statewide networking 33 institutions $7.5 million over two years TIGRE Application driven software stack $2.5 million for two years shared by 5 institutions Rice and UH both participants Houston Research and Education Network Rice, UH, Texas Med Center, NLR (lit in May) Abovenet contribution $3.4 million BPtPPPMPPtP'P-P$PP0.  M"  4$$((,,'00-44$88<< i0 &- { ManagementmValue of Virtual Organization No one site could take on topic of this breadth Project vision requires an integrated approach Thinking about broad range of issues from the beginning Management Executive Committee Technical Working Group Strategy for Collaboration Workshops, Telecons Overcome project management challenges through interactions Grad student exchange_9 ,<0/8     $$((<,,00t7D{ &Research vs Development  [Original Proposal Research Significant investment in software infrastructure development Application collaborations (funded staff members) Revised Statement of Work Focus on research (guidance from NSF) Situation Today To conduct research we are building prototype software Leveraging NMI and Texas Application collaborations still drive researchy&G2  &7/  $$t4xL0 Annual Budget#VGrADS Summary: A Holistic ApproachWhat justifies a Large ITR? Community, no one institution covers everything Project vision Shared infrastructure Integration would not happen without a unified project VGrADS Built on GrADS insights and experiences community of leading researchers who work together effectively broad coverage of requisite topics Vision for extremely simple application development interface grid virtualization to hide complexity Shared software stack and testbed vgES toolkit, policies and application drivers Many interrelated layers require integrated effort program tools, provisioning, scheduling, measurement prediction, fault tolerance, infrastructure, applications XPPP(PbP>P'P"P/P3PqP0  6(  ?$$"((,,>00'44"88/<<3q>Annual Budget by Institution}SummaryWhat Justifies a Large ITR? 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N@u-xaxa1? m    H  0޽h ? a( L H\(  H H H1 ?    H T@%xaxa1 ? m   Intent of this slide is to define the problem Key points: Want to enable researcher sitting in Houston to use significant resources at other sites (e.g. use supercomputers to correlate huge genome databases) This is too hard today - requires detailed systems programming, rare expertise, not feasible for the discipline scientist (unless she has a collaboration with the CS department) VGrADS is raising this level of abstraction, H H 0޽h ? a(j ,<( 99 ,R , 3     , C Aw- m   JThe lead-in to the demos. Only one will be done at any given booth. EMAN points: Iterative reconstruction process alternates between serial and parallel phases. Accurate performance models (semi-automatically generated) are the key to load-balancing parallel phases. Modeling of communication needed to ensure computation doesn t end up at a  dead end where it s too expensive to retrieve the output GridSAT points: Dynamic search tree requires the computation to adapt in real time Careful balance needed between parallelism & communication - in particular, distributing to all available resources is not efficient BSB---n nH , 0޽h ? a(o 05(  0R 0 3     0 C H& m   CCan also use this slide to thank our program managers (Frederica Darema, Kamal Abdali) Students involved in demos at SC: Wahid Chrabakh (GridSAT, UCSB) Anirban Mandal (EMAN, Rice) Bo Lu (EMAN, UH)bA + H 0 0޽h ? a(Y ld04(   4R 4 3    j 4 C +v- m   The standard beauty shot, although it s less related to what we re actually doing than it once was Probably not useful to spend a lot of time explaining GrADS vs. VGrADS details, but this is the place to mention how the project has evolved  H 4 0޽h ? a( q T(  TX TC     TS Pv- m    H T 0޽h ? a(80___PPT10.p)N r  `( ?   `X `C     `S Pv- m    H ` 0޽h ? a(80___PPT10.1p[ x 4 , ` (  R  3    2   C |v- m    Our initial work with EOL was invaluable for defining and validating the Virtual Grid concept* However, we have decided that working with the actual EOL software within the VGrADS project was no longer a viable option 1. the EOL software, i.e., the iGAP script, turned out to be an ad-hoc, intricate, and hardly maintainable code base, and thus a most likely counter-productive driver for our work. 2. the EOL team being aware of the limitations of their current software has been planning a complete refactoring of their code base. 3. while a refactoring of the software sounded promising, it turns out that funding for the EOL project has become problematic and its future is rather uncertain. * It is important to note that VGrADS technology is eminently applicable to applications in the same domain as EOL. Our current plan is now to identify such applications. Our team has experience with applications in this domain, and in fact we have used such an application in our work during the GrADS project. Furthermore, our preliminary work on EOL has provided us with additional experience with a number of bioinformatics applications that are also good candidates for VGrADS technology. *Consequently, in spite of this initial setback, we are confident that our work will be applicable and relevant to applications in the same class as EOL. DGP "   &f   +H  0޽h ? a(80___PPT10.rq~ >6( ; X C    6 S @% m   `Again, very standard Things to emphasize are the plans for tools Much research to be done in tools for workflow Basing much of the work on component programming paradigm (nodes in the workflow) Major researhc questions: Scheduling under uncertainty (fault tolerance, limited information from abstractions) How much can we automate? 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L dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. } dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.<<  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ? %6Supplementary MaterialsAPackets Agenda Participant bios and pictures Slides Poster abstracts Annual report for 2005 Web Site Linked agenda Full participant bios Electronic (full-page) slides Publications Annual reports PDFs of Posters T o   $  $$((,,004488t\ , Graphical Agenda oThe VGrADS Team?VGrADS is an NSF-funded Information Technology Research project@?9L3VGrADS Vision: National Distributed Problem Solving44-Where We Want To Be Transparent Grid computing Submit job Find & schedule resources Execute efficiently Where We Are Low-level hand development What Do We Need? A more abstract view of the Grid Each developer sees a specialized  virtual grid Simplified programming models built on the abstract view Permit the application developer to focus on the problem9 !1999  !19  9$$TqThe Original GrADS Vision rLessons from GrADS$*Mapping and Scheduling for MPI Jobs is Hard Although we were able to do some interesting experiments Performance Model Construction is Hard Hybrid static/dynamic schemes are best Difficult for application developers to do by hand Heterogeneity is Hard We completely revised the launching mechanisms to support this Good scheduling is critical Rescheduling/Migration is Hard Requires application collaboration (generalized checkpointing) Requires performance modeling to determine profitability Scaling to Large Grids is Hard Scheduling becomes expensive ,P9P'PZPP[PPxPPP,9'Z  [x  $$pA 2F55 : YVGrADS Virtual Grid HierarchyVGrADS Project OverviewVirtual Grid Abstraction and Virtual Grid Execution System (vgES) Application-level resource abstraction separates concerns Permits true scalability and control of resources Virtual Grid Execution System enables simple resource management Supports fault tolerance, reasoning about app behavior, rescheduling Tools for Application Development Abstract programming interfaces Easy application scheduling, launch, and management Workflow graphs and tightly-coupled computations Support for Fault Tolerance and Rescheduling/Migration Collaboration between application and vgES Research Driven by Real Application Needs EMAN, LEAD, GridSAT, EOL BE"T17+*BE"  T17+*  $$((<&$%#*Architecture: vgES implements Virtual Grid++` &   Virtual Grid ApproachkSeparation of Concerns Application Planning and Management Complex Grid Resource Environment Mgmt => vgDL and Virtual Grid Scalable Selection and Binding Large Resource Pools Competitive, Dynamic Environments => Finding and Binding Application-Driven Resource Management Application-Level Abstraction Grid Information => Virtual Grid Explicit Resource AbstractionK7'/.K  7']Programming ToolsFocus: Automating critical application-development steps: Initiating and managing application execution Optimize and launch application on heterogeneous resources Support for fault tolerance and rescheduling/migration Scheduling application workflows Whole-workflow scheduling using performance models Constructing performance models Automatically from application binaries Cross-platform modeling Building workflow graphs from high-level scripts Examples: Python (EMAN), OGRE (LEAD), Matlab:.r!3 (1-:.;6  !3 (  $$1((-,,xVGrADS Applications Philosophy: Computer Science Research Driven by Applications EMAN Contruction of 3-D models from 2-D electron micrographs Talk by Charles Koelbel, Posters by Anirban Mandal and Bo Liu and by Gabriel Marin LEAD Collection of applications for real-time weather prediction, sponsored by NSF ITR Large Talk by Dan Reed, Poster by Emma Buneci GridSAT Satisfiability on the Grid EOL (Encyclopedia of Life) Reduced emphasis due to software issues = PP8PSPPXP(PPPP*P=8S  X'  $$((*,,B 9 $y."yVGrADS Education Graduate Education Graduate student support: 21 students Rice: 7; UCSB: 1; UCSD: 5; UH: 2; UNC: 4; USC: 1; UTK: 1 Cross-institution graduate student exchange Grid courses UCSD (Chien) and UCSB (Wolski) Undergraduate Education Internet and Grid Architectures Course Under development Underrepresented Groups Support for AGEP program Activities at Tapia and Hopper Conferences CS-CAMP "P&P9P9PPP'PPPLPP&9,  '  $$((*,,004488<<HoA ~OutreachWeb Site http://vgrads.rice.edu/ Conferences and Talks CCGrid and HPDC papers Invited addresses Application Collaborations Participation at SC Conferences Demonstrations of two applications )<#    #  b<#jVGrADS Demos at SC04EMAN - Electron Microscopy Analysis [Rice, Houston] 3D reconstruction of particles from electron micrographs Workflow scheduling and performance prediction to optimize mapping&4|4| GridSAT - Boolean Satisfiability [UCSB] Classic NP-complete problem useful in circuit design and verification Performance-based dynamic resource allocation and scheduling :(($ zLeverageNMI Community infrastructure that can be counted on Vehicle for deployment of successful research Outlet for technology State of Texas Support LEARN: Support for statewide networking 33 institutions $7.5 million over two years TIGRE Application driven software stack $2.5 million for two years shared by 5 institutions Rice and UH both participants Houston Research and Education Network Rice, UH, Texas Med Center, NLR (lit in May) Abovenet contribution $3.4 million BPtPPPMPPtP'P-P$PP0.  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Community, no one institution covers everything Project vision Shared infrastructure Integration would not happen without a unified project VGrADS Built on GrADS insights and experiences community of leading researchers who work together effectively broad coverage of requisite topics Vision for extremely simple application development interface grid virtualization to hide complexity Shared software stack and testbed vgES toolkit, policies and application drivers Many interrelated layers require integrated effort program tools, provisioning, scheduling, measurement prediction, fault tolerance, infrastructure, applications XPPP(PbP>P'P"P/P3PqP0  6(  ?$$"((,,>00'44"88/<<3q>Annual Budget by Institution}SummaryWhat Justifies a Large ITR? 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L dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. } dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.<<  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ? %7Supplementary MaterialsAPackets Agenda Participant bios and pictures Slides Poster abstracts Annual report for 2005 Web Site Linked agenda Full participant bios Electronic (full-page) slides Publications Annual reports PDFs of Posters T o   $  $$((,,004488t\ , Graphical Agenda oThe VGrADS Team?VGrADS is an NSF-funded Information Technology Research project@?9L3VGrADS Vision: National Distributed Problem Solving44-Where We Want To Be Transparent Grid computing Submit job Find & schedule resources Execute efficiently Where We Are Low-level hand development What Do We Need? A more abstract view of the Grid Each developer sees a specialized  virtual grid Simplified programming models built on the abstract view Permit the application developer to focus on the problem9 !1999  !19  9$$TqThe Original GrADS Vision rLessons from GrADS$*Mapping and Scheduling for MPI Jobs is Hard Although we were able to do some interesting experiments Performance Model Construction is Hard Hybrid static/dynamic schemes are best Difficult for application developers to do by hand Heterogeneity is Hard We completely revised the launching mechanisms to support this Good scheduling is critical Rescheduling/Migration is Hard Requires application collaboration (generalized checkpointing) Requires performance modeling to determine profitability Scaling to Large Grids is Hard Scheduling becomes expensive ,P9P'PZPP[PPxPPP,9'Z  [x  $$pA 2F55 : YVGrADS Virtual Grid HierarchyVGrADS Project OverviewVirtual Grid Abstraction and Virtual Grid Execution System (vgES) Application-level resource abstraction separates concerns Permits true scalability and control of resources Virtual Grid Execution System enables simple resource management Supports fault tolerance, reasoning about app behavior, rescheduling Tools for Application Development Abstract programming interfaces Easy application scheduling, launch, and management Workflow graphs and tightly-coupled computations Support for Fault Tolerance and Rescheduling/Migration Collaboration between application and vgES Research Driven by Real Application Needs EMAN, LEAD, GridSAT, EOL BE"T17+*BE"  T17+*  $$((<&$%#*Architecture: vgES implements Virtual Grid++` &   Virtual Grid ApproachkSeparation of Concerns Application Planning and Management Complex Grid Resource Environment Mgmt => vgDL and Virtual Grid Scalable Selection and Binding Large Resource Pools Competitive, Dynamic Environments => Finding and Binding Application-Driven Resource Management Application-Level Abstraction Grid Information => Virtual Grid Explicit Resource AbstractionK7'/.K  7']Programming ToolsFocus: Automating critical application-development steps: Initiating and managing application execution Optimize and launch application on heterogeneous resources Support for fault tolerance and rescheduling/migration Scheduling application workflows Whole-workflow scheduling using performance models Constructing performance models Automatically from application binaries Cross-platform modeling Building workflow graphs from high-level scripts Examples: Python (EMAN), OGRE (LEAD), Matlab:.r!3 (1-:.;6  !3 (  $$1((-,,xVGrADS Applications Philosophy: Computer Science Research Driven by Applications EMAN Contruction of 3-D models from 2-D electron micrographs Talk by Charles Koelbel, Posters by Anirban Mandal and Bo Liu and by Gabriel Marin LEAD Collection of applications for real-time weather prediction, sponsored by NSF ITR Large Talk by Dan Reed, Poster by Emma Buneci GridSAT Satisfiability on the Grid EOL (Encyclopedia of Life) Reduced emphasis due to software issues = PP8PSPPXP(PPPP*P=8S  X'  $$((*,,B 9 $y."yVGrADS Education Graduate Education Graduate student support: 23 students Rice: 7; UCSB: 1; UCSD: 5; UH: 2; UNC: 4; USC: 1; UTK: 3 Cross-institution graduate student exchange Grid courses UCSD (Chien) and UCSB (Wolski) Undergraduate Education Internet and Grid Architectures Course Under development Underrepresented Groups Support for AGEP program Activities at Tapia and Hopper Conferences CS-CAMP "P&P9P9PPP'PPPLPP&9,  '  $$((*,,004488<<HoA ~OutreachWeb Site http://vgrads.rice.edu/ Conferences and Talks CCGrid and HPDC papers Invited addresses Application Collaborations Participation at SC Conferences Demonstrations of two applications )<#    #  b<#jVGrADS Demos at SC04EMAN - Electron Microscopy Analysis [Rice, Houston] 3D reconstruction of particles from electron micrographs Workflow scheduling and performance prediction to optimize mapping&4|4| GridSAT - Boolean Satisfiability [UCSB] Classic NP-complete problem useful in circuit design and verification Performance-based dynamic resource allocation and scheduling :(($ zLeverageNMI Community infrastructure that can be counted on Vehicle for deployment of successful research Outlet for technology State of Texas Support LEARN: Support for statewide networking 33 institutions $7.5 million over two years TIGRE Application driven software stack $2.5 million for two years shared by 5 institutions Rice and UH both participants Houston Research and Education Network Rice, UH, Texas Med Center, NLR (lit in May) Abovenet contribution $3.4 million BPtPPPMPPtP'P-P$PP0.  M"  4$$((,,'00-44$88<< i0 &- { ManagementmValue of Virtual Organization No one site could take on topic of this breadth Project vision requires an integrated approach Thinking about broad range of issues from the beginning Management Executive Committee Technical Working Group Strategy for Collaboration Workshops, Telecons Overcome project management challenges through interactions Grad student exchange_9 ,<0/8     $$((<,,00t7D{ &Research vs Development  [Original Proposal Research Significant investment in software infrastructure development Application collaborations (funded staff members) Revised Statement of Work Focus on research (guidance from NSF) Situation Today To conduct research we are building prototype software Leveraging NMI and Texas Application collaborations still drive researchy&G2  &7/  $$t4xL0 Annual Budget#VGrADS Summary: A Holistic ApproachWhat justifies a Large ITR? Community, no one institution covers everything Unified project vision Shared infrastructure Integration would not happen without a unified project VGrADS Built on GrADS insights and experiences community of leading researchers who work together effectively broad coverage of requisite topics Vision for extremely simple application development interface grid virtualization to hide complexity Shared software stack and testbed vgES toolkit, policies and application drivers Many interrelated layers require and benefit from the integrated effort program tools, provisioning, scheduling, measurement prediction, fault tolerance, infrastructure, applications XPPP(PbP>P'P"P/PHPqP0  6(  ?$$"((,,>00'44"88/<<Hq>Annual Budget by Institution}SummaryWhat Justifies a Large ITR? Community: No one institution covers everything Project Vision Shared Infrastructure Integration: Would not happen without a unified project VGrADS Built on GrADS Community of leading researchers who work together effectively Broad coverage topics Vision for extremely simple application development interface Shared software stack and testbed Many interrelated layers require integrated effortU0  8?  $$((>,,"00344t 2,M3/ 4567;<=>?@ABCDE F IJLMNOPװLyonl1< 08  .,=>5/2347:-sx,, o e(HH(dh  @ٰٰ (    l  C ܳ%O%   l  C Դ%  H  0޽h ? lb___PPT10u.q+D=' ̰= @B +1 Nٰٰ $P<(  <~ < s *`>6O%   ~ < s *06  p < c HA$MCj03418520000[1]8PH < 0޽h ? lb___PPT10u.YqTf+D=' ̰= @B +rfhkW(  \  Chart MSGraph.Chart.80*Microsoft Graph Chart Worksheet Excel.Sheet.802Microsoft Excel Worksheet/0(  0;[0 0 000$([\{b00 000000000  0=] 0 0 0000 2 3 !A0C0E0G0I0c00000000000000000!%),.:;?]}acdeghijklmnopDTimes Pro W3d Indsed^\!DCLB Helvetica Condensed Black^\! 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">& '(*+,.-* $/1'24567_B$0>Zo>(.-@R$l&*Dh1Y}-@R$ P߶\\y*4|Dƫ@b$ڌ *DF&z@b$C(Eo@b$10=" 1@R$G~oT7X4d/@b$w \): ".@R$ qi8 0ͿXl-@b$FJJl /.SNo@b$+Y>wЏf&jq@b$?.r@&? yH@B$Mc' />ں~8.]e@b$MD@bBM5@R$J#Uk=vjZj9@$@$@$@$@B$`ޘvaXMӟv7w@B$rYVPĐ)Es@ `8c? fffff@J8Q 9& ʚ;g0ʚ;g4ddnpp@ <4!d!dPgʚ;<4ddddPgʚ;<4ddddPgʚ;g4ddddnLp@ ppOL___PPT10,$x     `   x`   y     ~Hz     {h    P         }p      ___PPT9h `         x   y     ~z     {       h___PPT2001D<4X           }     h___PPT2001D<4Xt@___PPTMac11N@@f   hnamd` Arial&Monotype Typography    hnamd` Arial&Monotype Typography    hnamd` Arial&Monotype Typography    hnamd` Arial&Monotype Typography    hnamd` Arial&Monotype Typography    hnamd` Arial&Monotype Typography 9 dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. < dnamd\ Comic Sans MS Microsoft Corp.<< x dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. y dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ~ dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. z4 dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  x<<  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. {d dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. L dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. } dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.<<  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ? %7Supplementary MaterialsAPackets Agenda Participant bios and pictures Slides Poster abstracts Annual report for 2005 Web Site Linked agenda Full participant bios Electronic (full-page) slides Publications Annual reports PDFs of Posters T o   $  $$((,,004488t\ , Graphical Agenda oThe VGrADS Team?VGrADS is an NSF-funded Information Technology Research project@?9L3VGrADS Vision: National Distributed Problem Solving44-Where We Want To Be Transparent Grid computing Submit job Find & schedule resources Execute efficiently Where We Are Low-level hand development What Do We Need? A more abstract view of the Grid Each developer sees a specialized  virtual grid Simplified programming models built on the abstract view Permit the application developer to focus on the problem9 !1999  !19  9$$TqThe Original GrADS Vision rLessons from GrADS$*Mapping and Scheduling for MPI Jobs is Hard Although we were able to do some interesting experiments Performance Model Construction is Hard Hybrid static/dynamic schemes are best Difficult for application developers to do by hand Heterogeneity is Hard We completely revised the launching mechanisms to support this Good scheduling is critical Rescheduling/Migration is Hard Requires application collaboration (generalized checkpointing) Requires performance modeling to determine profitability Scaling to Large Grids is Hard Scheduling becomes expensive ,P9P'PZPP[PPxPPP,9'Z  [x  $$pA 2F55 : YVGrADS Virtual Grid HierarchyVGrADS Project OverviewVirtual Grid Abstraction and Virtual Grid Execution System (vgES) Application-level resource abstraction separates concerns Permits true scalability and control of resources Virtual Grid Execution System enables simple resource management Supports fault tolerance, reasoning about app behavior, rescheduling Tools for Application Development Abstract programming interfaces Easy application scheduling, launch, and management Workflow graphs and tightly-coupled computations Support for Fault Tolerance and Rescheduling/Migration Collaboration between application and vgES Research Driven by Real Application Needs EMAN, LEAD, GridSAT, EOL BE"T17+*BE"  T17+*  $$((<&$%#*Architecture: vgES implements Virtual Grid++` &   Virtual Grid ApproachkSeparation of Concerns Application Planning and Management Complex Grid Resource Environment Mgmt => vgDL and Virtual Grid Scalable Selection and Binding Large Resource Pools Competitive, Dynamic Environments => Finding and Binding Application-Driven Resource Management Application-Level Abstraction Grid Information => Virtual Grid Explicit Resource AbstractionK7'/.K  7']Programming ToolsFocus: Automating critical application-development steps: Initiating and managing application execution Optimize and launch application on heterogeneous resources Support for fault tolerance and rescheduling/migration Scheduling application workflows Whole-workflow scheduling using performance models Constructing performance models Automatically from application binaries Cross-platform modeling Building workflow graphs from high-level scripts Examples: Python (EMAN), OGRE (LEAD), Matlab:.r!3 (1-:.;6  !3 (  $$1((-,,xVGrADS Applications Philosophy: Computer Science Research Driven by Applications EMAN Contruction of 3-D models from 2-D electron micrographs Talk by Charles Koelbel, Posters by Anirban Mandal and Bo Liu and by Gabriel Marin LEAD Collection of applications for real-time weather prediction, sponsored by NSF ITR Large Talk by Dan Reed, Poster by Emma Buneci GridSAT Satisfiability on the Grid EOL (Encyclopedia of Life) Reduced emphasis due to software issues = PP8PSPPXP(PPPP*P=8S  X'  $$((*,,B 9 $y."yVGrADS Education Graduate Education Graduate student support: 23 students Rice: 7; UCSB: 1; UCSD: 5; UH: 2; UNC: 4; USC: 1; UTK: 3 Cross-institution graduate student exchange Grid courses UCSD (Chien) and UCSB (Wolski) Undergraduate Education Internet and Grid Architectures Course Under development Underrepresented Groups Support for AGEP program Activities at Tapia and Hopper Conferences CS-CAMP "P&P9P9PPP'PPPLPP&9,  '  $$((*,,004488<<HoA ~OutreachWeb Site http://vgrads.rice.edu/ Conferences and Talks CCGrid and HPDC papers Invited addresses Application Collaborations Participation at SC Conferences Demonstrations of two applications )<#    #  b<#jVGrADS Demos at SC04EMAN - Electron Microscopy Analysis [Rice, Houston] 3D reconstruction of particles from electron micrographs Workflow scheduling and performance prediction to optimize mapping&4|4| GridSAT - Boolean Satisfiability [UCSB] Classic NP-complete problem useful in circuit design and verification Performance-based dynamic resource allocation and scheduling :(($ zLeverageNMI Community infrastructure that can be counted on Vehicle for deployment of successful research Outlet for technology State of Texas Support LEARN: Support for statewide networking 33 institutions $7.5 million over two years TIGRE Application driven software stack $2.5 million for two years shared by 5 institutions Rice and UH both participants Houston Research and Education Network Rice, UH, Texas Med Center, NLR (lit in May) Abovenet contribution $3.4 million BPtPPPMPPtP'P-P$PP0.  M"  4$$((,,'00-44$88<< i0 &- { ManagementmValue of Virtual Organization No one site could take on topic of this breadth Project vision requires an integrated approach Thinking about broad range of issues from the beginning Management Executive Committee Technical Working Group Strategy for Collaboration Workshops, Telecons Overcome project management challenges through interactions Grad student exchange_9 ,<0/8     $$((<,,00t7D{ &Research vs Development  [Original Proposal Research Significant investment in software infrastructure development Application collaborations (funded staff members) Revised Statement of Work Focus on research (guidance from NSF) Situation Today To conduct research we are building prototype software Leveraging NMI and Texas Application collaborations still drive researchy&G2  &7/  $$t4xL0 Annual Budget#VGrADS Summary: A Holistic ApproachWhat justifies a Large ITR? Community: no one institution covers everything Unified project vision Shared infrastructure Integration: would not happen without a unified project VGrADS Built on GrADS insights and experiences community of leading researchers who work together effectively broad coverage of requisite topics Vision for extremely simple application development interface grid virtualization to hide complexity Shared software stack and testbed vgES toolkit, policies and application drivers Many interrelated layers require and benefit from the integrated effort program tools, provisioning, scheduling, measurement prediction, fault tolerance, infrastructure, applications XPPP(PbP>P'P"P/PHPqP0  7(  ?$$"((,,>00'44"88/<<Hq>Annual Budget by Institution}SummaryWhat Justifies a Large ITR? 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L dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ? %3Supplementary MaterialsAPackets Agenda Participant bios and pictures Slides Poster abstracts Annual report for 2005 Web Site Linked agenda Full participant bios Electronic (full-page) slides Publications Annual reports PDFs of Posters T o   $  $$((,,004488t\ , 9___PPTMac119@f   hnamd` Arial&Monotype Typography    hnamd` ArialGraphical Agenda oThe VGrADS Team?VGrADS is an NSF-funded Information Technology Research project@?9L3VGrADS Vision: National Distributed Problem Solving44-Where We Want To Be Transparent Grid computing Submit job Find & schedule resources Execute efficiently Where We Are Low-level hand development What Do We Need? A more abstract view of the Grid Each developer sees a specialized  virtual grid Simplified programming models built on the abstract view Permit the application developer to focus on the problem9 !1999  !19  9$$TqThe Original GrADS Vision rLessons from GrADS$*Mapping and Scheduling for MPI Jobs is Hard Although we were able to do some interesting experiments Performance Model Construction is Hard Hybrid static/dynamic schemes are best Difficult for application developers to do by hand Heterogeneity is Hard We completely revised the launching mechanisms to support this Good scheduling is critical Rescheduling/Migration is Hard Requires application collaboration (generalized checkpointing) Requires performance modeling to determine profitability Scaling to Large Grids is Hard Scheduling becomes expensive ,P9P'PZPP[PPxPPP,9'Z  [x  $$pA 2F55 : YVGrADS Virtual Grid HierarchyVGrADS Project OverviewVirtual Grid Abstraction and Virtual Grid Execution System (vgES) Application-level resource abstraction separates concerns Permits true scalability and control of resources Virtual Grid Execution System enables simple resource management Supports fault tolerance, reasoning about app behavior, rescheduling Tools for Application Development Abstract programming interfaces Easy application scheduling, launch, and management Workflow graphs and tightly-coupled computations Support for Fault Tolerance and Rescheduling/Migration Collaboration between application and vgES Research Driven by Real Application Needs EMAN, LEAD, GridSAT, EOL BE"T17+*BE"  T17+*  $$((<&$%#*Architecture: vgES implements Virtual Grid++` &   Virtual Grid ApproachkSeparation of Concerns Application Planning and Management Complex Grid Resource Environment Mgmt => vgDL and Virtual Grid Scalable Selection and Binding Large Resource Pools Competitive, Dynamic Environments => Finding and Binding Application-Driven Resource Management Application-Level Abstraction Grid Information => Virtual Grid Explicit Resource AbstractionK7'/.K  7']Programming ToolsFocus: Automating critical application-development steps: Initiating and managing application execution Optimize and launch application on heterogeneous resources Support for fault tolerance and rescheduling/migration Scheduling application workflows Whole-workflow scheduling using performance models Constructing performance models Automatically from application binaries Cross-platform modeling Building workflow graphs from high-level scripts Examples: Python (EMAN), OGRE (LEAD), Matlab:.r!3 (1-:.;6  !3 (  $$1((-,,xVGrADS Applications Philosophy: Computer Science Research Driven by Applications EMAN Contruction of 3-D models from 2-D electron micrographs Talk by Charles Koelbel, Posters by Anirban Mandal and Bo Liu and by Gabriel Marin LEAD Collection of applications for real-time weather prediction, sponsored by NSF ITR Large Talk by Dan Reed, Poster by Emma Buneci GridSAT Satisfiability on the Grid EOL (Encyclopedia of Life) Reduced emphasis due to software issues = PP8PSPPXP(PPPP*P=8S  X'  $$((*,,B 9 $y."yVGrADS Education Graduate Education Graduate student support: 23 students Rice: 7; UCSB: 1; UCSD: 5; UH: 2; UNC: 4; USC: 1; UTK: 3 Cross-institution graduate student exchange Grid courses UCSD (Chien) and UCSB (Wolski) Undergraduate Education Internet and Grid Architectures Course Under development Underrepresented Groups Support for AGEP program Activities at Tapia and Hopper Conferences CS-CAMP "P&P9P9PPP'PPPLPP&9,  '  $$((*,,004488<<HoA ~OutreachWeb Site http://vgrads.rice.edu/ Conferences and Talks CCGrid and HPDC papers Invited addresses Application Collaborations Participation at SC Conferences Demonstrations of two applications )<#    #  b<#jVGrADS Demos at SC04EMAN - Electron Microscopy Analysis [Rice, Houston] 3D reconstruction of particles from electron micrographs Workflow scheduling and performance prediction to optimize mapping&4|4| GridSAT - Boolean Satisfiability [UCSB] Classic NP-complete problem useful in circuit design and verification Performance-based dynamic resource allocation and scheduling :(($ zLeverageNMI Community infrastructure that can be counted on Vehicle for deployment of successful research Outlet for technology State of Texas Support LEARN: Support for statewide networking 33 institutions $7.5 million over two years TIGRE Application driven software stack $2.5 million for two years shared by 5 institutions Rice and UH both participants Houston Research and Education Network Rice, UH, Texas Med Center, NLR (lit in May) Abovenet contribution $3.4 million BPtPPPMPPtP'P-P$PP0.  M"  4$$((,,'00-44$88<< i0 &- { ManagementmValue of Virtual Organization No one site could take on topic of this breadth Project vision requires an integrated approach Thinking about broad range of issues from the beginning Management Executive Committee Technical Working Group Strategy for Collaboration Workshops, Telecons Overcome project management challenges through interactions Grad student exchange_9 ,<0/8     $$((<,,00t7D{ &Research vs Development  [Original Proposal Research Significant investment in software infrastructure development Application collaborations (funded staff members) Revised Statement of Work Focus on research (guidance from NSF) Situation Today To conduct research we are building prototype software Leveraging NMI and Texas Application collaborations still drive researchy&G2  &7/  $$t4xL0 Annual Budget#VGrADS Summary: A Holistic ApproachWhat justifies a Large ITR? 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L dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ? %3Supplementary MaterialsAPackets Agenda Participant bios and pictures Slides Poster abstracts Annual report for 2005 Web Site Linked agenda Full participant bios Electronic (full-page) slides Publications Annual reports PDFs of Posters T o   $  $$((,,004488t\ , Graphical Agenda oThe VGrADS Team?VGrADS is an NSF-funded Information Technology Research project@?9L3VGrADS Vision: National Distributed Problem Solving44-Where We Want To Be Transparent Grid computing Submit job Find & schedule resources Execute efficiently Where We Are Low-level hand development What Do We Need? A more abstract view of the Grid Each developer sees a specialized  virtual grid Simplified programming models built on the abstract view Permit the application developer to focus on the problem9 !1999  !19  9$$TqThe Original GrADS Vision rLessons from GrADS$*Mapping and Scheduling for MPI Jobs is Hard Although we were able to do some interesting experiments Performance Model Construction is Hard Hybrid static/dynamic schemes are best Difficult for application developers to do by hand Heterogeneity is Hard We completely revised the launching mechanisms to support this Good scheduling is critical Rescheduling/Migration is Hard Requires application collaboration (generalized checkpointing) Requires performance modeling to determine profitability Scaling to Large Grids is Hard Scheduling becomes expensive ,P9P'PZPP[PPxPPP,9'Z  [x  $$pA 2F55 : YVGrADS Virtual Grid HierarchyVGrADS Project OverviewVirtual Grid Abstraction and Virtual Grid Execution System (vgES) Application-level resource abstraction separates concerns Permits true scalability and control of resources Virtual Grid Execution System enables simple resource management Supports fault tolerance, reasoning about app behavior, rescheduling Tools for Application Development Abstract programming interfaces Easy application scheduling, launch, and management Workflow graphs and tightly-coupled computations Support for Fault Tolerance and Rescheduling/Migration Collaboration between application and vgES Research Driven by Real Application Needs EMAN, LEAD, GridSAT, EOL BE"T17+*BE"  T17+*  $$((<&$%#*Architecture: vgES implements Virtual Grid++` &   Virtual Grid ApproachkSeparation of Concerns Application Planning and Management Complex Grid Resource Environment Mgmt => vgDL and Virtual Grid Scalable Selection and Binding Large Resource Pools Competitive, Dynamic Environments => Finding and Binding Application-Driven Resource Management Application-Level Abstraction Grid Information => Virtual Grid Explicit Resource AbstractionK7'/.K  7']Programming ToolsFocus: Automating critical application-development steps: Initiating and managing application execution Optimize and launch application on heterogeneous resources Support for fault tolerance and rescheduling/migration Scheduling application workflows Whole-workflow scheduling using performance models Constructing performance models Automatically from application binaries Cross-platform modeling Building workflow graphs from high-level scripts Examples: Python (EMAN), OGRE (LEAD), Matlab:.r!3 (1-:.;6  !3 (  $$1((-,,xVGrADS Applications Philosophy: Computer Science Research Driven by Applications EMAN Contruction of 3-D models from 2-D electron micrographs Talk by Charles Koelbel, Posters by Anirban Mandal and Bo Liu and by Gabriel Marin LEAD Collection of applications for real-time weather prediction, sponsored by NSF ITR Large Talk by Dan Reed, Poster by Emma Buneci GridSAT Satisfiability on the Grid EOL (Encyclopedia of Life) Reduced emphasis due to software issues = PP8PSPPXP(PPPP*P=8S  X'  $$((*,,B 9 $y."yVGrADS Education Graduate Education Graduate student support: 23 students Rice: 7; UCSB: 1; UCSD: 5; UH: 2; UNC: 4; USC: 1; UTK: 3 Cross-institution graduate student exchange Grid courses UCSD (Chien) and UCSB (Wolski) Undergraduate Education Internet and Grid Architectures Course Under development Underrepresented Groups Support for AGEP program Activities at Tapia and Hopper Conferences CS-CAMP "P&P9P9PPP'PPPLPP&9,  '  $$((*,,004488<<HoA ~OutreachWeb Site http://vgrads.rice.edu/ Conferences and Talks CCGrid and HPDC papers Invited addresses Application Collaborations Participation at SC Conferences Demonstrations of two applications )<#    #  b<#jVGrADS Demos at SC04EMAN - Electron Microscopy Analysis [Rice, Houston] 3D reconstruction of particles from electron micrographs Workflow scheduling and performance prediction to optimize mapping&4|4| GridSAT - Boolean Satisfiability [UCSB] Classic NP-complete problem useful in circuit design and verification Performance-based dynamic resource allocation and scheduling :(($ zLeverageNMI Community infrastructure that can be counted on Vehicle for deployment of successful research Outlet for technology State of Texas Support LEARN: Support for statewide networking 33 institutions $7.5 million over two years TIGRE Application driven software stack $2.5 million for two years shared by 5 institutions Rice and UH both participants Houston Research and Education Network Rice, UH, Texas Med Center, NLR (lit in May) Abovenet contribution $3.4 million BPtPPPMPPtP'P-P$PP0.  M"  4$$((,,'00-44$88<< i0 &- { ManagementmValue of Virtual Organization No one site could take on topic of this breadth Project vision requires an integrated approach Thinking about broad range of issues from the beginning Management Executive Committee Technical Working Group Strategy for Collaboration Workshops, Telecons Overcome project management challenges through interactions Grad student exchange_9 ,<0/8     $$((<,,00t7D{ &Research vs Development  [Original Proposal Research Significant investment in software infrastructure development Application collaborations (funded staff members) Revised Statement of Work Focus on research (guidance from NSF) Situation Today To conduct research we are building prototype software Leveraging NMI and Texas Application collaborations still drive researchy&G2  &7/  $$t4xL0 Annual Budget#VGrADS Summary: A Holistic ApproachWhat justifies a Large ITR? 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L dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ? %3Supplementary MaterialsAPackets Agenda Participant bios and pictures Slides Poster abstracts Annual report for 2005 Web Site Linked agenda Full participant bios Electronic (full-page) slides Publications Annual reports PDFs of Posters T o   $  $$((,,004488t\ , Graphical Agenda oThe VGrADS Team?VGrADS is an NSF-funded Information Technology Research project@?9L3VGrADS Vision: National Distributed Problem Solving44-Where We Want To Be Transparent Grid computing Submit job Find & schedule resources Execute efficiently Where We Are Low-level hand development What Do We Need? A more abstract view of the Grid Each developer sees a specialized  virtual grid Simplified programming models built on the abstract view Permit the application developer to focus on the problem9 !1999  !19  9$$TqThe Original GrADS Vision rLessons from GrADS$*Mapping and Scheduling for MPI Jobs is Hard Although we were able to do some interesting experiments Performance Model Construction is Hard Hybrid static/dynamic schemes are best Difficult for application developers to do by hand Heterogeneity is Hard We completely revised the launching mechanisms to support this Good scheduling is critical Rescheduling/Migration is Hard Requires application collaboration (generalized checkpointing) Requires performance modeling to determine profitability Scaling to Large Grids is Hard Scheduling becomes expensive ,P9P'PZPP[PPxPPP,9'Z  [x  $$pA 2F55 : YVGrADS Virtual Grid HierarchyVGrADS Project OverviewVirtual Grid Abstraction and Virtual Grid Execution System (vgES) Application-level resource abstraction separates concerns Permits true scalability and control of resources Virtual Grid Execution System enables simple resource management Supports fault tolerance, reasoning about app behavior, rescheduling Tools for Application Development Abstract programming interfaces Easy application scheduling, launch, and management Workflow graphs and tightly-coupled computations Support for Fault Tolerance and Rescheduling/Migration Collaboration between application and vgES Research Driven by Real Application Needs EMAN, LEAD, GridSAT, EOL BE"T17+*BE"  T17+*  $$((<&$%#*Architecture: vgES implements Virtual Grid++` &   Virtual Grid ApproachkSeparation of Concerns Application Planning and Management Complex Grid Resource Environment Mgmt => vgDL and Virtual Grid Scalable Selection and Binding Large Resource Pools Competitive, Dynamic Environments => Finding and Binding Application-Driven Resource Management Application-Level Abstraction Grid Information => Virtual Grid Explicit Resource AbstractionK7'/.K  7']Programming ToolsFocus: Automating critical application-development steps: Initiating and managing application execution Optimize and launch application on heterogeneous resources Support for fault tolerance and rescheduling/migration Scheduling application workflows Whole-workflow scheduling using performance models Constructing performance models Automatically from application binaries Cross-platform modeling Building workflow graphs from high-level scripts Examples: Python (EMAN), OGRE (LEAD), Matlab:.r!3 (1-:.;6  !3 (  $$1((-,,xVGrADS Applications Philosophy: Computer Science Research Driven by Applications EMAN Contruction of 3-D models from 2-D electron micrographs Talk by Charles Koelbel, Posters by Anirban Mandal and Bo Liu and by Gabriel Marin LEAD Collection of applications for real-time weather prediction, sponsored by NSF ITR Large Talk by Dan Reed, Poster by Emma Buneci GridSAT Satisfiability on the Grid EOL (Encyclopedia of Life) Reduced emphasis due to software issues = PP8PSPPXP(PPPP*P=8S  X'  $$((*,,B 9 $y."yVGrADS Education Graduate Education Graduate student support: 23 students Rice: 7; UCSB: 1; UCSD: 5; UH: 2; UNC: 4; USC: 1; UTK: 3 Cross-institution graduate student exchange Grid courses UCSD (Chien) and UCSB (Wolski) Undergraduate Education Internet and Grid Architectures Course Under development Underrepresented Groups Support for AGEP program Activities at Tapia and Hopper Conferences CS-CAMP "P&P9P9PPP'PPPLPP&9,  '  $$((*,,004488<<HoA ~OutreachWeb Site http://vgrads.rice.edu/ Conferences and Talks CCGrid and HPDC papers Invited addresses Application Collaborations Participation at SC Conferences Demonstrations of two applications )<#    #  b<#jVGrADS Demos at SC04EMAN - Electron Microscopy Analysis [Rice, Houston] 3D reconstruction of particles from electron micrographs Workflow scheduling and performance prediction to optimize mapping&4|4| GridSAT - Boolean Satisfiability [UCSB] Classic NP-complete problem useful in circuit design and verification Performance-based dynamic resource allocation and scheduling :(($ zLeverageNMI Community infrastructure that can be counted on Vehicle for deployment of successful research Outlet for technology State of Texas Support LEARN: Support for statewide networking 33 institutions $7.5 million over two years TIGRE Application driven software stack $2.5 million for two years shared by 5 institutions Rice and UH both participants Houston Research and Education Network Rice, UH, Texas Med Center, NLR (lit in May) Abovenet contribution $3.4 million BPtPPPMPPtP'P-P$PP0.  M"  4$$((,,'00-44$88<< i0 &- { ManagementmValue of Virtual Organization No one site could take on topic of this breadth Project vision requires an integrated approach Thinking about broad range of issues from the beginning Management Executive Committee Technical Working Group Strategy for Collaboration Workshops, Telecons Overcome project management challenges through interactions Grad student exchange_9 ,<0/8     $$((<,,00t7D{ &Research vs Development  [Original Proposal Research Significant investment in software infrastructure development Application collaborations (funded staff members) Revised Statement of Work Focus on research (guidance from NSF) Situation Today To conduct research we are building prototype software Leveraging NMI and Texas Application collaborations still drive researchy&G2  &7/  $$t4xL0 Annual Budget#VGrADS Summary: A Holistic ApproachWhat justifies a Large ITR? Community: no one institution covers everything Unified project vision Shared infrastructure Integration: would not happen without a unified project VGrADS Built on GrADS insights and experiences community of leading researchers who work together effectively broad coverage of requisite topics Vision for extremely simple application development interface grid virtualization to hide complexity Shared software stack and testbed vgES toolkit, policies and application drivers Many interrelated layers require and benefit from the integrated effort program tools, provisioning, scheduling, measurement prediction, fault tolerance, infrastructure, applications XPPP(PbP>P'P"P/PHPqP0  7(  ?$$"((,,>00'44"88/<<Hq>Annual Budget by Institution/h 4567;<=>?@ABCD F IJLMNOPװLyonl1< 08  .,=>5/2347:-sx,, o e(HH(dh ry`y(  \ RdO)sVK Pictures' PowerPoint Document(9 SummaryInformation(+       !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwyz{|}~x      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnoprstuvwxyz{|}~q    v !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwyz{|}~x      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnoprstuvwxyz{|}~q      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~J|  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{}~DocumentSummaryInformation8dCurrent Userk http://www.hipersoft.rice.edu/grads/1_9 "$HiPersoft Rice UniversityHiPersoft Rice Universityhnamd` Arial&Monotype Typography $3 dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. < dnamd\ Comic Sans MS Microsoft Corp.<< x dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. y dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ~ dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. z4 dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  x<<  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. {d dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. L dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ? %3Supplementary MaterialsAPackets Agenda Participant bios and pictures Slides Poster abstracts Annual report for 2005 Web Site Linked agenda Full participant bios Electronic (full-page) slides Publications Annual reports PDFs of Posters T o   $  $$                         ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { } ~  ((,,004488t\ , Graphical Agenda oThe VGrADS Team?VGrADS is an NSF-funded Information Technology Research project@?9L3VGrADS Vision: National Distributed Problem Solving44-Where We Want To Be Transparent Grid computing Submit job Find & schedule resources Execute efficiently Where We Are Low-level hand development What Do We Need? A more abstract view of the Grid Each developer sees a specialized  virtual grid Simplified programming models built on the abstract view Permit the application developer to focus on the problem9 !1999  !19  9$$TqThe Original GrADS Vision rLessons from GrADS$*Mapping and Scheduling for MPI Jobs is Hard Although we were able to do some interesting experiments Performance Model Construction is Hard Hybrid static/dynamic schemes are best Difficult for application developers to do by hand Heterogeneity is Hard We completely revised the launching mechanisms to support this Good scheduling is critical Rescheduling/Migration is Hard Requires application collaboration (generalized checkpointing) Requires performance modeling to determine profitability Scaling to Large Grids is Hard Scheduling becomes expensive ,P9P'PZPP[PPxPPP,9'Z  [x  $$pA 2F55 : YVGrADS Virtual Grid HierarchyVGrADS Project OverviewVirtual Grid Abstraction and Virtual Grid Execution System (vgES) Application-level resource abstraction separates concerns Permits true scalability and control of resources Virtual Grid Execution System enables simple resource management Supports fault tolerance, reasoning about app behavior, rescheduling Tools for Application Development Abstract programming interfaces Easy application scheduling, launch, and management Workflow graphs and tightly-coupled computations Support for Fault Tolerance and Rescheduling/Migration Collaboration between application and vgES Research Driven by Real Application Needs EMAN, LEAD, GridSAT, EOL BE"T17+*BE"  T17+*  $$((<&$%#*Architecture: vgES implements Virtual Grid++` *   Virtual Grid ApproachkSeparation of Concerns Application Planning and Management Complex Grid Resource Environment Mgmt => vgDL and Virtual Grid Scalable Selection and Binding Large Resource Pools Competitive, Dynamic Environments => Finding and Binding Application-Driven Resource Management Application-Level Abstraction Grid Information => Virtual Grid Explicit Resource AbstractionK7'/.K  7']Programming ToolsFocus: Automating critical application-development steps: Initiating and managing application execution Optimize and launch application on heterogeneous resources Support for fault tolerance and rescheduling/migration Scheduling application workflows Whole-workflow scheduling using performance models Constructing performance models Automatically from application binaries Cross-platform modeling Building workflow graphs from high-level scripts Examples: Python (EMAN), OGRE (LEAD), Matlab:.r!3 (1-:.;6  !3 (  $$1((-,,xVGrADS Applications Philosophy: Computer Science Research Driven by Applications EMAN Contruction of 3-D models from 2-D electron micrographs Talk by Charles Koelbel, Posters by Anirban Mandal and Bo Liu and by Gabriel Marin LEAD Collection of applications for real-time weather prediction, sponsored by NSF ITR Large Talk by Dan Reed, Poster by Emma Buneci GridSAT Satisfiability on the Grid EOL (Encyclopedia of Life) Reduced emphasis due to software issues = PP8PSPPXP(PPPP*P=8S  X'  $$((*,,B 9 $y."yVGrADS Education Graduate Education Graduate student support: 23 students Rice: 7; UCSB: 1; UCSD: 5; UH: 2; UNC: 4; USC: 1; UTK: 3 Cross-institution graduate student exchange Grid courses UCSD (Chien) and UCSB (Wolski) Undergraduate Education Internet and Grid Architectures Course Under development Underrepresented Groups Support for AGEP program Activities at Tapia and Hopper Conferences CS-CAMP "P&P9P9PPP'PPPLPP&9,  '  $$((*,,004488<<HoA ~OutreachWeb Site http://vgrads.rice.edu/ Conferences and Talks CCGrid and HPDC papers Invited addresses Application Collaborations Participation at SC Conferences Demonstrations of two applications )<#    #  b<#jVGrADS Demos at SC04EMAN - Electron Microscopy Analysis [Rice, Houston] 3D reconstruction of particles from electron micrographs Workflow scheduling and performance prediction to optimize mapping&4|4| GridSAT - Boolean Satisfiability [UCSB] Classic NP-complete problem useful in circuit design and verification Performance-based dynamic resource allocation and scheduling :(($ zLeverageNMI Community infrastructure that can be counted on Vehicle for deployment of successful research Outlet for technology State of Texas Support LEARN: Support for statewide networking 33 institutions $7.5 million over two years TIGRE Application driven software stack $2.5 million for two years shared by 5 institutions Rice and UH both participants Houston Research and Education Network Rice, UH, Texas Med Center, NLR (lit in May) Abovenet contribution $3.4 million BPtPPPMPPtP'P-P$PP0.  M"  4$$((,,'00-44$88<< i0 &- { ManagementmValue of Virtual Organization No one site could take on topic of this breadth Project vision requires an integrated approach Thinking about broad range of issues from the beginning Management Executive Committee Technical Working Group Strategy for Collaboration Workshops, Telecons Overcome project management challenges through interactions Grad student exchange_9 ,<0/8     $$((<,,00t7D{ &Research vs Development  [Original Proposal Research Significant investment in software infrastructure development Application collaborations (funded staff members) Revised Statement of Work Focus on research (guidance from NSF) Situation Today To conduct research we are building prototype software Leveraging NMI and Texas Application collaborations still drive researchy&G2  &7/  $$t4xL0 Annual Budget#VGrADS Summary: A Holistic ApproachWhat justifies a Large ITR? 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L dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ? %3Supplementary MaterialsAPackets Agenda Participant bios and pictures Slides Poster abstracts Annual report for 2005 Web Site Linked agenda Full participant bios Electronic (full-page) slides Publications Annual reports PDFs of Posters T o   $  $$((,,004488t\ , Graphical Agenda oThe VGrADS Team?VGrADS is an NSF-funded Information Technology Research project@?9L3VGrADS Vision: National Distributed Problem Solving44-Where We Want To Be Transparent Grid computing Submit job Find & schedule resources Execute efficiently Where We Are Low-level hand development What Do We Need? A more abstract view of the Grid Each developer sees a specialized  virtual grid Simplified programming models built on the abstract view Permit the application developer to focus on the problem9 !1999  !19  9$$TqThe Original GrADS Vision rLessons from GrADS$*Mapping and Scheduling for MPI Jobs is Hard Although we were able to do some interesting experiments Performance Model Construction is Hard Hybrid static/dynamic schemes are best Difficult for application developers to do by hand Heterogeneity is Hard We completely revised the launching mechanisms to support this Good scheduling is critical Rescheduling/Migration is Hard Requires application collaboration (generalized checkpointing) Requires performance modeling to determine profitability Scaling to Large Grids is Hard Scheduling becomes expensive ,P9P'PZPP[PPxPPP,9'Z  [x  $$pA 2F55 : YVGrADS Virtual Grid HierarchyVGrADS Project OverviewVirtual Grid Abstraction and Virtual Grid Execution System (vgES) Application-level resource abstraction separates concerns Permits true scalability and control of resources Virtual Grid Execution System enables simple resource management Supports fault tolerance, reasoning about app behavior, rescheduling Tools for Application Development Abstract programming interfaces Easy application scheduling, launch, and management Workflow graphs and tightly-coupled computations Support for Fault Tolerance and Rescheduling/Migration Collaboration between application and vgES Research Driven by Real Application Needs EMAN, LEAD, GridSAT, EOL BE"T17+*BE"  T17+*  $$((<&$%#*Architecture: vgES implements Virtual Grid++` *   Virtual Grid ApproachkSeparation of Concerns Application Planning and Management Complex Grid Resource Environment Mgmt => vgDL and Virtual Grid Scalable Selection and Binding Large Resource Pools Competitive, Dynamic Environments => Finding and Binding Application-Driven Resource Management Application-Level Abstraction Grid Information => Virtual Grid Explicit Resource AbstractionK7'/.K  7']Programming ToolsFocus: Automating critical application-development steps: Initiating and managing application execution Optimize and launch application on heterogeneous resources Support for fault tolerance and rescheduling/migration Scheduling application workflows Whole-workflow scheduling using performance models Constructing performance models Automatically from application binaries Cross-platform modeling Building workflow graphs from high-level scripts Examples: Python (EMAN), OGRE (LEAD), Matlab:.r!3 (1-:.;6  !3 (  $$1((-,,xVGrADS Applications Philosophy: Computer Science Research Driven by Applications EMAN Contruction of 3-D models from 2-D electron micrographs Talk by Charles Koelbel, Posters by Anirban Mandal and Bo Liu and by Gabriel Marin LEAD Collection of applications for real-time weather prediction, sponsored by NSF ITR Large Talk by Dan Reed, Poster by Emma Buneci GridSAT Satisfiability on the Grid EOL (Encyclopedia of Life) Reduced emphasis due to software issues = PP8PSPPXP(PPPP*P=8S  X'  $$((*,,B 9 $y."yVGrADS Education Graduate Education Graduate student support: 23 students Rice: 7; UCSB: 1; UCSD: 5; UH: 2; UNC: 4; USC: 1; UTK: 3 Cross-institution graduate student exchange Grid courses UCSD (Chien) and UCSB (Wolski) Undergraduate Education Internet and Grid Architectures Course Under development Underrepresented Groups Support for AGEP program Activities at Tapia and Hopper Conferences CS-CAMP "P&P9P9PPP'PPPLPP&9,  '  $$((*,,004488<<HoA ~OutreachWeb Site http://vgrads.rice.edu/ Conferences and Talks CCGrid and HPDC papers Invited addresses Application Collaborations Participation at SC Conferences Demonstrations of two applications )<#    #  b<#jVGrADS Demos at SC04EMAN - Electron Microscopy Analysis [Rice, Houston] 3D reconstruction of particles from electron micrographs Workflow scheduling and performance prediction to optimize mapping&4|4| GridSAT - Boolean Satisfiability [UCSB] Classic NP-complete problem useful in circuit design and verification Performance-based dynamic resource allocation and scheduling :(($ zLeverageNMI Community infrastructure that can be counted on Vehicle for deployment of successful research Outlet for technology State of Texas Support LEARN: Support for statewide networking 33 institutions $7.5 million over two years TIGRE Application driven software stack $2.5 million for two years shared by 5 institutions Rice and UH both participants Houston Research and Education Network Rice, UH, Texas Med Center, NLR (lit in May) Abovenet contribution $3.4 million BPtPPPMPPtP'P-P$PP0.  M"  4$$((,,'00-44$88<< i0 &- { ManagementmValue of Virtual Organization No one site could take on topic of this breadth Project vision requires an integrated approach Thinking about broad range of issues from the beginning Management Executive Committee Technical Working Group Strategy for Collaboration Workshops, Telecons Overcome project management challenges through interactions Grad student exchange_9 ,<0/8     $$((<,,00t7D{ &Research vs Development  [Original Proposal Research Significant investment in software infrastructure development Application collaborations (funded staff members) Revised Statement of Work Focus on research (guidance from NSF) Situation Today To conduct research we are building prototype software Leveraging NMI and Texas Application collaborations still drive researchy&G2  &7/  $$t4xL0 Annual Budget#VGrADS Summary: A Holistic ApproachWhat justifies a Large ITR? Community: no one institution covers everything Unified project vision Shared infrastructure Integration: would not happen without a unified project VGrADS Built on GrADS insights and experiences community of leading researchers who work together effectively broad coverage of requisite topics Vision for extremely simple application development interface grid virtualization to hide complexity Shared software stack and testbed vgES toolkit, policies and application drivers Many interrelated layers require and benefit from the integrated effort program tools, provisioning, scheduling, measurement prediction, fault tolerance, infrastructure, applications XPPP(PbP>P'P"P/PHPqP0  7(  ?$$"((,,>00'44"88/<<Hq>Annual Budget by Institution/h 4567;<=>?@ABCD F IJLMNOPBLyonl1< 08  .,=>5/2347:-sx,,  te(HH(nh  UM(  )  Z0'xaxa1 ?<  ;Body Text Second Level Third Level Fourth Level Fifth Level     <   ZP'UU1? M   Page * Z  ###55FFp  01 ?Dx B  s *޽h ? a(80___PPT10.&q  4(     Z'UU1?   r Page *  Z ###55FFB  s *޽h ? a(80___PPT10.&q8G8G @A(  X  01?@ xX  Tk#xaxa1?f ph___PPT10`X  ___PPT9  ___PPTMac11 x   The Virtual Grid Application Development Software (VGrADS) Project Overview Ken Kennedy Center for High Performance Software Rice University http://vgrads.rice.edu/site_visit/april_2005/slides/kennedy-overviewD    nB <6 E E 5  ( ')*,-./* $1 '%0&2_B$0>Zo>(.-R$l&*Dh1Y}-R$ P߶\\y*4|Dƫb$ڌ *DF&zb$C(Eob$10=" 1R$G~oT7X4d/b$w \): ".R$ qi8 0ͿXl-b$FJJl /.SNob$+Y>wЏf&jqb$?.r@&? yHB$Mc' />ں~8.]eb$MD@bBM5R$J#Uk=vjZj9B$r"X'y.U%B$V[X]USTB$]&A#m.LXB$zthc)2f' B$`ޘvaXMӟv7wB$rYVPĐ)Es `8c? fffff@J8I 9& ʚ;g0ʚ;g4ddnxpp@ <4!d!d0gʚ;<4dddd0gʚ;<4dddd0gʚ;g4ddddnL ppp@ G___PPT10x     `   x`   y     ~Hz     {h    P         ___PPT9ph        x   y     ~z     {           h___PPT2001D<4X9___PPTMac119@f   hnamd` Arial&Monotype Typography    hnamd` Arial&Monotype Typography    hnamd` Arial&Monotype Typography    hnamd` Arial&Monotype Typography    hnamd` Arial&Monotype Typography    hnamd` Arial&Monotype Typography $3 dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. < dnamd\ Comic Sans MS Microsoft Corp.<< x dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. y dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ~ dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. z4 dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  x<<  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. {d dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. L dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp.  dnamd\ Comic Sans MS Microsoft Corp. ? %3Supplementary MaterialsAPackets Agenda Participant bios and pictures Slides Poster abstracts Annual report for 2005 Web Site Linked agenda Full participant bios Electronic (full-page) slides Publications Annual reports PDFs of Posters T o   $  $$((,,004488t\ , Graphical Agenda oThe VGrADS Team?VGrADS is an NSF-funded Information Technology Research project@?9L3VGrADS Vision: National Distributed Problem Solving44-Where We Want To Be Transparent Grid computing Submit job Find & schedule resources Execute efficiently Where We Are Low-level hand development What Do We Need? A more abstract view of the Grid Each developer sees a specialized  virtual grid Simplified programming models built on the abstract view Permit the application developer to focus on the problem9 !1999  !19  9$$TqThe Original GrADS Vision rLessons from GrADS$*Mapping and Scheduling for MPI Jobs is Hard Although we were able to do some interesting experiments Performance Model Construction is Hard Hybrid static/dynamic schemes are best Difficult for application developers to do by hand Heterogeneity is Hard We completely revised the launching mechanisms to support this Good scheduling is critical Rescheduling/Migration is Hard Requires application collaboration (generalized checkpointing) Requires performance modeling to determine profitability Scaling to Large Grids is Hard Scheduling becomes expensive ,P9P'PZPP[PPxPPP,9'Z  [x  $$pA 2F55 : YVGrADS Virtual Grid HierarchyVGrADS Project OverviewVirtual Grid Abstraction and Virtual Grid Execution System (vgES) Application-level resource abstraction separates concerns Permits true scalability and control of resources Virtual Grid Execution System enables simple resource management Supports fault tolerance, reasoning about app behavior, rescheduling Tools for Application Development Abstract programming interfaces Easy application scheduling, launch, and management Workflow graphs and tightly-coupled computations Support for Fault Tolerance and Rescheduling/Migration Collaboration between application and vgES Research Driven by Real Application Needs EMAN, LEAD, GridSAT, EOL BE"T17+*BE"  T17+*  $$((<&$%#*Architecture: vgES implements Virtual Grid++` *   Virtual Grid ApproachkSeparation of Concerns Application Planning and Management Complex Grid Resource Environment Mgmt => vgDL and Virtual Grid Scalable Selection and Binding Large Resource Pools Competitive, Dynamic Environments => Finding and Binding Application-Driven Resource Management Application-Level Abstraction Grid Information => Virtual Grid Explicit Resource AbstractionK7'/.K  7']Programming ToolsFocus: Automating critical application-development steps: Initiating and managing application execution Optimize and launch application on heterogeneous resources Support for fault tolerance and rescheduling/migration Scheduling application workflows Whole-workflow scheduling using performance models Constructing performance models Automatically from application binaries Cross-platform modeling Building workflow graphs from high-level scripts Examples: Python (EMAN), OGRE (LEAD), Matlab:.r!3 (1-:.;6  !3 (  $$1((-,,xVGrADS Applications Philosophy: Computer Science Research Driven by Applications EMAN Contruction of 3-D models from 2-D electron micrographs Talk by Charles Koelbel, Posters by Anirban Mandal and Bo Liu and by Gabriel Marin LEAD Collection of applications for real-time weather prediction, sponsored by NSF ITR Large Talk by Dan Reed, Poster by Emma Buneci GridSAT Satisfiability on the Grid EOL (Encyclopedia of Life) Reduced emphasis due to software issues = PP8PSPPXP(PPPP*P=8S  X'  $$((*,,B 9 $y."yVGrADS Education Graduate Education Graduate student support: 23 students Rice: 7; UCSB: 1; UCSD: 5; UH: 2; UNC: 4; USC: 1; UTK: 3 Cross-institution graduate student exchange Grid courses UCSD (Chien) and UCSB (Wolski) Undergraduate Education Internet and Grid Architectures Course Under development Underrepresented Groups Support for AGEP program Activities at Tapia and Hopper Conferences CS-CAMP "P&P9P9PPP'PPPLPP&9,  '  $$((*,,004488<<HoA ~OutreachWeb Site http://vgrads.rice.edu/ Conferences and Talks CCGrid and HPDC papers Invited addresses Application Collaborations Participation at SC Conferences Demonstrations of two applications )<#    #  b<#jVGrADS Demos at SC04EMAN - Electron Microscopy Analysis [Rice, Houston] 3D reconstruction of particles from electron micrographs Workflow scheduling and performance prediction to optimize mapping&4|4| GridSAT - Boolean Satisfiability [UCSB] Classic NP-complete problem useful in circuit design and verification Performance-based dynamic resource allocation and scheduling :(($ zLeverageNMI Community infrastructure that can be counted on Vehicle for deployment of successful research Outlet for technology State of Texas Support LEARN: Support for statewide networking 33 institutions $7.5 million over two years TIGRE Application driven software stack $2.5 million for two years shared by 5 institutions Rice and UH both participants Houston Research and Education Network Rice, UH, Texas Med Center, NLR (lit in May) Abovenet contribution $3.4 million BPtPPPMPPtP'P-P$PP0.  M"  4$$((,,'00-44$88<< i0 &- { ManagementmValue of Virtual Organization No one site could take on topic of this breadth Project vision requires an integrated approach Thinking about broad range of issues from the beginning Management Executive Committee Technical Working Group Strategy for Collaboration Workshops, Telecons Overcome project management challenges through interactions Grad student exchange_9 ,<0/8     $$((<,,00t7D{ &Research vs Development  [Original Proposal Research Significant investment in software infrastructure development Application collaborations (funded staff members) Revised Statement of Work Focus on research (guidance from NSF) Situation Today To conduct research we are building prototype software Leveraging NMI and Texas Application collaborations still drive researchy&G2  &7/  $$t4xL0 Annual Budget#VGrADS Summary: A Holistic ApproachWhat justifies a Large ITR? Community: no one institution covers everything Unified project vision Shared infrastructure Integration: would not happen without a unified project VGrADS Built on GrADS insights and experiences community of leading researchers who work together effectively broad coverage of requisite topics Vision for extremely simple application development interface grid virtualization to hide complexity Shared software stack and testbed vgES toolkit, policies and application drivers Many interrelated layers require and benefit from the integrated effort program tools, provisioning, scheduling, measurement prediction, fault tolerance, infrastructure, applications XPPP(PbP>P'P"P/PHPqP0  7(  ?$$"((,,>00'44"88/<<Hq>Annual Budget by Institution/h 4567;<=>?@ABCD F IJLMNOPBLyonl1< 08  .,=>5/2347:-sx,,  te(HH(nh r d 9 ٰRdO)PWK Pictures' PowerPoint Document(9 SummaryInformation(+                          ! 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