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Using large GPU clusters and the race towards exaflops to improve high-resolution acoustic imaging
Using large GPU clusters and the race towards exaflops to improve high-resolution acoustic imaging
- Source :
- GPU'2016 conference on Perspectives in GPU computing in Science, GPU'2016 conference on Perspectives in GPU computing in Science, Sep 2016, Roma, Italy
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- International audience
- Subjects :
- [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]
[SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph]
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]
[INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]
[INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
ComputingMilieux_MISCELLANEOUS
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- GPU'2016 conference on Perspectives in GPU computing in Science, GPU'2016 conference on Perspectives in GPU computing in Science, Sep 2016, Roma, Italy
- Accession number :
- edsair.dedup.wf.001..8bdcb3fa464d934f426b449f94985b72