SCHEDULE: NOV 15-20, 2015

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An Approach to the Highest Efficiency of the HPCG Benchmark on the SX-ACE Supercomputer

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Kazuhiko Komatsu, Ryusuke Egawa, Yoko Isobe, Ryusei Ogata, Hiroyuki Takizawa, Hiroaki Kobayashi

ROOM:Level 4 - Lobby

ABSTRACT:

This paper reports how we have achieved the world's highest efficiency
on the HPCG benchmark by fully exploiting the high potential of the
SX-ACE supercomputer.
To achieve efficient vector calculations and memory accesses, several
optimization techniques such as ELL sparse matrix data packing, the
hyperplane method for eliminating data dependencies, selective caching
for the on-chip memory, and problem size tuning have been employed.
Evaluation results show that SX-ACE achieves an 11.4% efficiency
in the case of 512 nodes, which is the highest efficiency among all of
the supercomputers in the latest HPCG ranking.
This is because these optimization techniques can effectively exploit
the high potential of memory access performance of SX-ACE, which has
a strong impact on the overall performance of HPCG.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Kazuhiko Komatsu - Tohoku University

Ryusuke Egawa - Tohoku University

Yoko Isobe - NEC Corporation

Ryusei Ogata - NEC Corporation

Hiroyuki Takizawa - Tohoku University

Hiroaki Kobayashi - Tohoku University

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