Accelerating Scientific Discovery Through Code Optimization on Many-Core Processes

April 6, 2018

During a weeklong coding marathon at Brookhaven Lab, scientists, code developers, and computing hardware experts achieved from 2x to 40x speedups for scientific application codes running on supercomputers powered by Intel Xeon Phi processors for high-performance computing. In this video, Brookhaven co-organizer Meifeng Lin, Intel mentor Hideki Saito, and Yale graduate student participant Urmila Chadayammuri share their perspectives on the hackathon.