Graduate Student Na Zhang will attend XSEDE15 with Full Support

Monday, June 22, 2015

Na ZhangNa Zhang, a Ph.D. student of IACS Affiliate Faculty Professor Yuefan Deng, is invited with full financial support including travel, lodging and registration to attend this year’s XSEDE Conference (https://conferences.xsede.org/). XSEDE is an annual event that showcases the discoveries, innovations, challenges and achievements of those who utilize and support XSEDE resources and services. XSEDE (Extreme Science and Engineering Discovery Environment, https://www.xsede.org/) is a robust collection of integrated compute/storage resources and services. It is a virtual platform that scientists can use to interactively share computing resources, data, and expertise.

Na will present her paper "Performance Examinations of Multiple Time-Stepping Algorithms on Stampede Supercomputer” in which she demonstrates a huge (23x) performance speedup by a combined algorithmic and hardware accelerations on Stampede supercomputer for multiscale simulations. The algorithmic acceleration is by a multiscale, multiple-time stepping algorithm that was published in the Journal of Computational Physics.

Paper abstract: 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- multiscale phenomena of flowing platelets in blood vessels within approximately 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.