Education

M.S.University of California, Berkeley, December 2006
Advisor: James Demmel
Thesis: Benchmarking Sparse Matrix-Vector Multiply (PDF 11.5 MB)
B.S.University of Illinois at Urbana-Champaign, May 2003
Minor in Mathematics
with Honors

Teaching

TA for CS 257 Numerical Methods, Fall 2008
TA for CS 173 Discrete Mathematical Structures, Fall 2007

Awards and Honors

California Microelectronics Fellowship, 2003
Hohn-Nash Scholarship, 2002

Publications

Hormozd Gahvari, Allison H. Baker, Martin Schulz, Ulrike Meier Yang, Kirk E. Jordan, and William Gropp. "Modeling the Performance of an Algebraic Multigrid Cycle on HPC Platforms." In 25th ACM International Conference on Supercomputing, Tucson, AZ, June 2011. [PDF]

Abhinav Bhatele, Pritish Jetley, Hormozd Gahvari, Lukasz Wesolowski, William D. Gropp, and Laxmikant V. Kale. "Architectural constraints to attain 1 Exaflop/s on three scientific application classes." In 25th IEEE International Parallel and Distributed Processing Symposium, Anchorage, AK, May 2011. [PDF]

Hormozd Gahvari and William Gropp. "An Introductory Exascale Feasibility Study for FFTs and Multigrid." In 24th IEEE International Parallel and Distributed Processing Symposium, Atlanta, GA, April 2010.

Hormozd Gahvari, Mark Hoemmen, James Demmel, and Katherine Yelick. "Benchmarking Sparse Matrix-Vector Multiply in Five Minutes." In SPEC Benchmark Workshop 2007, Austin, TX, January 21, 2007. [PDF]