TY - GEN
T1 - Considering GPGPU for HPC centers
T2 - Conference for Young Scientists: Facing the Multicore-Challenge
AU - Hacker, Hans
AU - Trinitis, Carsten
AU - Weidendorfer, Josef
AU - Brehm, Matthias
PY - 2010
Y1 - 2010
N2 - In contrast to just a few years ago, the answer to the question "What system should we buy next to best assist our users" has become a lot more complicated for the operators of an HPC center today. In addition to multicore architectures, powerful accelerator systems have emerged, and the future looks heterogeneous. In this paper, we will concentrate on and apply the abovementioned question to a specific accelerator with its programming environment that has become increasingly popular: systems using graphics processors from NVidia, programmed with CUDA. Using three benchmarks encompassing main computational needs of scientific codes, we compare performance results with those obtained by systems with modern x86 multicore processors. Taking the experience from optimizing and running the codes into account, we discuss whether the presented performance numbers really apply to computing center users running codes in their everyday tasks.
AB - In contrast to just a few years ago, the answer to the question "What system should we buy next to best assist our users" has become a lot more complicated for the operators of an HPC center today. In addition to multicore architectures, powerful accelerator systems have emerged, and the future looks heterogeneous. In this paper, we will concentrate on and apply the abovementioned question to a specific accelerator with its programming environment that has become increasingly popular: systems using graphics processors from NVidia, programmed with CUDA. Using three benchmarks encompassing main computational needs of scientific codes, we compare performance results with those obtained by systems with modern x86 multicore processors. Taking the experience from optimizing and running the codes into account, we discuss whether the presented performance numbers really apply to computing center users running codes in their everyday tasks.
UR - http://www.scopus.com/inward/record.url?scp=78449290236&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-16233-6_13
DO - 10.1007/978-3-642-16233-6_13
M3 - Conference contribution
AN - SCOPUS:78449290236
SN - 3642162320
SN - 9783642162329
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 118
EP - 130
BT - Facing the Multicore-Challenge - Aspects of New Paradigms and Technologies in Parallel Computing
Y2 - 17 March 2010 through 19 March 2010
ER -