Accelerating large-scale simulation of seismic wave propagation by multi-GPUs and three-dimensional domain decomposition

Taro Okamoto, Hiroshi Takenaka, Takeshi Nakamura, Takayuki Aoki

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Citations (Scopus)

Abstract

We adopted the GPU (graphics processing unit) to accelerate the large-scale finite-difference simulation of seismic wave propagation. We describe the main part of our implementation: the memory optimization, the three-dimensional domain decomposition, and overlapping communication and computation. With our GPU program, we achieved a very high single-precision performance of about 61 TFlops by using 1,200 GPUs and 1.5 TB of total memory, and a scalability nearly proportional to the number of GPUs on TSUBAME–2.0, the recently installed GPU supercomputer in Tokyo Institute of Technology, Japan. In a realistic application by using 400 GPUs, only a wall clock time of 2,068 s (including the times for the overhead of snapshot output) was required for a complex structure model with more than 13 billion unit cells and 20,000 time steps. We therefore conclude that GPU computing for large-scale simulation of seismic wave propagation is a promising approach.

Original languageEnglish
Title of host publicationLecture Notes in Earth System Sciences
PublisherSpringer International Publishing
Pages375-389
Number of pages15
Edition9783642164040
DOIs
Publication statusPublished - Jan 1 2013
Externally publishedYes

Publication series

NameLecture Notes in Earth System Sciences
Number9783642164040
Volume0
ISSN (Print)2193-8571
ISSN (Electronic)2193-858X

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Earth and Planetary Sciences(all)

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    Okamoto, T., Takenaka, H., Nakamura, T., & Aoki, T. (2013). Accelerating large-scale simulation of seismic wave propagation by multi-GPUs and three-dimensional domain decomposition. In Lecture Notes in Earth System Sciences (9783642164040 ed., pp. 375-389). (Lecture Notes in Earth System Sciences; Vol. 0, No. 9783642164040). Springer International Publishing. https://doi.org/10.1007/978-3-642-16405-7_24