DocumentCode
625659
Title
Exploring SIMD for Molecular Dynamics, Using Intel® Xeon® Processors and Intel® Xeon Phi Coprocessors
Author
Pennycook, S.J. ; Hughes, Christopher J. ; Smelyanskiy, Mikhail ; Jarvis, S.A.
Author_Institution
Dept. of Comput. Sci., Univ. of Warwick, Coventry, UK
fYear
2013
fDate
20-24 May 2013
Firstpage
1085
Lastpage
1097
Abstract
We analyse gather-scatter performance bottlenecks in molecular dynamics codes and the challenges that they pose for obtaining benefits from SIMD execution. This analysis informs a number of novel code-level and algorithmic improvements to Sandia´s miniMD benchmark, which we demonstrate using three SIMD widths (128-, 256and 512bit). The applicability of these optimisations to wider SIMD is discussed, and we show that the conventional approach of exposing more parallelism through redundant computation is not necessarily best. In single precision, our optimised implementation is up to 5x faster than the original scalar code running on Intel®Xeon®processors with 256-bit SIMD, and adding a single Intel®Xeon Phi™coprocessor provides up to an additional 2x performance increase. These results demonstrate: (i) the importance of effective SIMD utilisation for molecular dynamics codes on current and future hardware; and (ii) the considerable performance increase afforded by the use of Intel®Xeon Phi™coprocessors for highly parallel workloads.
Keywords
coprocessors; molecular dynamics method; optimisation; parallel architectures; Intel®Phi™coprocessor; Intel®Xeon® processor; SIMD execution; Sandia´s miniMD benchmark; code level; molecular dynamics code; optimisation; parallel workload; scalar code; single Intel®Xeon Phi™coprocessor; Coprocessors; Force; Hardware; Instruction sets; Optimization; Registers; accelerator architectures; high performance computing; parallel programming; performance analysis; scientific computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel & Distributed Processing (IPDPS), 2013 IEEE 27th International Symposium on
Conference_Location
Boston, MA
ISSN
1530-2075
Print_ISBN
978-1-4673-6066-1
Type
conf
DOI
10.1109/IPDPS.2013.44
Filename
6569887
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