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Portable exploitation of parallel and heterogeneous HPC architectures in neural simulation using SkePU
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- Panagiotou, Sotirios (author)
- Natl Tech Univ Athens, Greece
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- Ernstsson, August (author)
- Linköpings universitet,Programvara och system,Tekniska fakulteten
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- Ahlqvist, Johan (author)
- Linköpings universitet,Programvara och system,Tekniska fakulteten
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- (creator_code:org_t)
- 2020-05-25
- 2020
- English.
- In: PROCEEDINGS OF THE 23RD INTERNATIONAL WORKSHOP ON SOFTWARE AND COMPILERS FOR EMBEDDED SYSTEMS (SCOPES 2020). - New York, NY, USA : ASSOC COMPUTING MACHINERY. - 9781450371315 ; , s. 74-77
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- The complexity of modern HPC systems requires the use of new tools that support advanced programming models and offer portability and programmability of parallel and heterogeneous architectures. In this work we evaluate the use of SkePU framework in an HPC application from the neural computing domain. We demonstrate the successful deployment of the application based on SkePU using multiple back-ends (OpenMP, OpenCL and MPI) and present lessons-learned towards future extensions of the SkePU framework.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
Keyword
- skeleton programming; neural simulation; HPC systems
Publication and Content Type
- ref (subject category)
- kon (subject category)
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