Leveraging the accelerated processing units for seismic imaging: A performance and power efficiency comparison against CPUs and GPUs. (November 2018)
- Record Type:
- Journal Article
- Title:
- Leveraging the accelerated processing units for seismic imaging: A performance and power efficiency comparison against CPUs and GPUs. (November 2018)
- Main Title:
- Leveraging the accelerated processing units for seismic imaging: A performance and power efficiency comparison against CPUs and GPUs
- Authors:
- Said, Issam
Fortin, Pierre
Lamotte, Jean–Luc
Calandra, Henri - Other Names:
- Balaji Pavan guest-editor.
Leung Kai-Cheung guest-editor.
Huang Zhiyi guest-editor.
García-Blas Javier guest-editor.
Brown Christopher guest-editor. - Abstract:
- Oil and gas companies rely on high performance computing to process seismic imaging algorithms such as reverse time migration. Graphics processing units are used to accelerate reverse time migration, but these deployments suffer from limitations such as the lack of high graphics processing unit memory capacity, frequent CPU-GPU communications that may be bottlenecked by the PCI bus transfer rate, and high power consumptions. Recently, AMD has launched the Accelerated Processing Unit (APU): a processor that merges a CPU and a graphics processing unit on the same die featuring a unified CPU-GPU memory. In this paper, we explore how efficiently may the APU be applicable to reverse time migration. Using OpenCL (along with MPI and OpenMP), a CPU/APU/GPU comparative study is conducted on a single node for the 3D acoustic reverse time migration, and then extended on up to 16 nodes. We show the relevance of overlapping the I/O and MPI communications with the computations for the APU and graphics processing unit clusters, that performance results of APUs range between those of CPUs and those of graphics processing units, and that the APU power efficiency is greater than or equal to the graphics processing unit one.
- Is Part Of:
- International journal of high performance computing applications. Volume 32:Number 6(2018)
- Journal:
- International journal of high performance computing applications
- Issue:
- Volume 32:Number 6(2018)
- Issue Display:
- Volume 32, Issue 6 (2018)
- Year:
- 2018
- Volume:
- 32
- Issue:
- 6
- Issue Sort Value:
- 2018-0032-0006-0000
- Page Start:
- 819
- Page End:
- 837
- Publication Date:
- 2018-11
- Subjects:
- Reverse time migration -- exploration geophysics -- graphics processing unit computing -- hybrid architectures -- power efficiency
High performance computing -- Periodicals
Supercomputers -- Periodicals
004.1105 - Journal URLs:
- http://hpc.sagepub.com ↗
http://www.uk.sagepub.com/home.nav ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1177/1094342017696562 ↗
- Languages:
- English
- ISSNs:
- 1094-3420
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8757.xml