Gabriel Marin

Graduate Student, Computer Science Rice University Research Advisor: Dr. John Mellor-Crummey VGrADS Activities: Working on Programming Tools (Performance Prediction) mgabi@cs.rice.edu http://www.cs.rice.edu/~mgabi

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Educational Background

• B.S. in Computer Science (1998), Politehnica Univeristy of Bucharest, Bucharest, Romania
• M. S. in Computer Science (2003), Rice University
• Currently, PhD Candidate, Rice University
  

Research Experience

Gabriel Marin's interests fall in the area of performance analysis, compiler optimizations and operating systems. Currently, he is working on tools for automatic understanding of how an application's characteristics scale with problem size, and predicting an application's performance on different architectures.

Previously, he has been involved in the HPCToolkit project, a tool for top-down analysis of node performance.

Publications

1. F. Berman, H. Casanova, A. Chien, K. Cooper, H. Dail, A. Dasgupta, W. Deng, J. Dongarra, L. Johnsson, K. Kennedy, C. Koelbel, B. Liu, X. Liu, A. Mandal, G. Marin, M. Mazina, J. Mellor-Crummey, C. Mendes, A. Olugbile, M. Patel, D. Reed, Z. Shi, O. Sievert, H. Xia, and A. Yarkhan  (to appear 2005). "New Grid Scheduling and Rescheduling Methods in the GrADS Project" in International Journal of Parallel Programming (IJPP)
2. G. Marin and J. Mellor-Crummey. "Cross Architecture Performance Predictions for Scientific Applications Using Parameterized Models", In Proceedings of the joint ACM SIGMETRICS-Performance 2004 Conference on Measurement and Modeling of Computer Systems, New York, NY, June 2004
3. G. Marin. "Semi-Automatic Synthesis of Parameterized Performance Models for Scientific Programs", Master's Thesis. Rice University, April 2003
4. G. Marin and J. Mellor-Crummey. "Building Parameterized Performance Models for Black-Box Applications", Extended poster abstract in Proceedings of the Los Alamos Computer Science Institute Third Annual Symposium, Santa Fe, NM, October 2002
5. J. Mellor-Crummey, R. Fowler, G. Marin, and N. Tallent. "HPCView: A tool for top-down analysis of node performance", in The Journal of Supercomputing, 23, 81-101, 2002
6. J. Mellor-Crummey, R. Fowler, and G. Marin. "HPCView: A tool for top-down analysis of node performance", In Proceedings of the Los Alamos Computer Science Institute Second Annual Symposium, Santa Fe, NM, October 2001