Title | ||
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Preliminary investigation of accelerating molecular dynamics simulation on Godson-T many-core processor |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1007/978-3-642-21878-1_43 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
great difficulty,godson-t many-core processor,linked-list cell data structure,computational science,preliminary investigation,incremental optimizations,data locality,on-chip locality-aware parallel algorithm,data reuse,architecture study,divide-and-conquer algorithm adaptive,molecular dynamics simulation,excellent speedup | Data structure,Locality,Unconventional computing,Memory hierarchy,Computer science,Parallel algorithm,Parallel computing,Molecular dynamics,Multi-core processor,Speedup,Distributed computing | Conference |
Volume | Issue | ISSN |
6586 LNCS | null | 16113349 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Liu Peng | 1 | 71 | 6.17 |
Guangming Tan | 2 | 436 | 48.90 |
Rajiv K. Kalia | 3 | 239 | 35.66 |
Aiichiro Nakano | 4 | 279 | 47.53 |
Priya Vashishta | 5 | 243 | 37.69 |
FAN Dong-Rui | 6 | 222 | 38.18 |
SUN Ning-Hui | 7 | 1268 | 97.37 |