Abstract
Molecular dynamics (MD) simulation is widely used in computational science, however, its irregular memory-access pattern imposes great difficulty on performance optimization. This paper presents a joint application/architecture study to accelerate MD on an emerging unconventional computing platform-Godson-T many-core architecture. We propose three incremental optimizations: (1) a divide-and-conquer algorithm adaptive to on-chip memory; (2) a novel data-layout to re-organize linked-list cell data structures to improve data locality; (3) an on-chip locality-aware parallel algorithm to enhance data reuse. Experiments on an event-driven, cycle-accurate Godson-T simulator achieve excellent speedup of 62 on 64 cores. © 2011 Springer-Verlag Berlin Heidelberg.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 349-356 |
| Number of pages | 8 |
| Volume | 6586 LNCS |
| DOIs | |
| State | Published - Aug 19 2011 |
| Externally published | Yes |
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