TY - GEN
T1 - Performance examinations of multiple time-stepping algorithms on stampede supercomputer
AU - Zhang, Na
AU - Zhang, Peng
AU - Zhang, Li
AU - Zhu, Xiao
AU - Huang, Lei
AU - Deng, Yuefan
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/7/26
Y1 - 2015/7/26
N2 - Our examinations of the methodical implementation of the multiple time-stepping algorithms on the Stampede supercomputer reveal a speedup factor of 23 over single time-stepping algorithm, for the same problem, with the combined algorithmic and hardware accelerations. More specifically, the MTS algorithm is 11.5 times faster than the STS algorithm; the GPU-enabled system performs 2 times faster than the CPU-only system. Combining these speedups and using MTS algorithm on the Stampede with 16 GPU nodes, we can simulate 1-ms multiscale phenomena of flowing platelets in blood vessels within approximate 37 days, enabling practical modeling of millisecond-scale biological phenomena with spatial resolutions at the nanoscales. The mathematical algorithms and the advances of computer hardware, such as the Stampede supercomputer, that can be leveraged allow us to explore the new frontiers of cutting-edge applications in medical and life sciences.
AB - Our examinations of the methodical implementation of the multiple time-stepping algorithms on the Stampede supercomputer reveal a speedup factor of 23 over single time-stepping algorithm, for the same problem, with the combined algorithmic and hardware accelerations. More specifically, the MTS algorithm is 11.5 times faster than the STS algorithm; the GPU-enabled system performs 2 times faster than the CPU-only system. Combining these speedups and using MTS algorithm on the Stampede with 16 GPU nodes, we can simulate 1-ms multiscale phenomena of flowing platelets in blood vessels within approximate 37 days, enabling practical modeling of millisecond-scale biological phenomena with spatial resolutions at the nanoscales. The mathematical algorithms and the advances of computer hardware, such as the Stampede supercomputer, that can be leveraged allow us to explore the new frontiers of cutting-edge applications in medical and life sciences.
KW - GPU computing
KW - Multiple time-stepping algorithm
KW - Multiscale modeling
KW - Performance
UR - http://www.scopus.com/inward/record.url?scp=84942789829&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942789829&partnerID=8YFLogxK
U2 - 10.1145/2792745.2792753
DO - 10.1145/2792745.2792753
M3 - Conference contribution
AN - SCOPUS:84942789829
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the XSEDE 2015 Conference
PB - Association for Computing Machinery
T2 - 4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015
Y2 - 26 July 2015 through 30 July 2015
ER -