Portable exploitation of parallel and heterogeneous HPC architectures in neural simulation using SkePUShow others and affiliations
2020 (English)In: Proceedings of the 23rd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2020 / [ed] Sander Stuijk, Henk Corporaal, Association for Computing Machinery (ACM), 2020, p. 74-77Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2020. p. 74-77
Keywords [en]
skeleton programming; neural simulation; HPC systems
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:liu:diva-175114DOI: 10.1145/3378678.3391889ISI: 000627738100015Scopus ID: 2-s2.0-85086711895ISBN: 9781450371315 (print)OAI: oai:DiVA.org:liu-175114DiVA, id: diva2:1546226
Conference
SCOPES '20: 23rd International Workshop on Software and Compilers for Embedded Systems, St. Goar Germany, May 25 - 26, 2020
Note
Funding Agencies|European Unions Horizon 2020 research and innovation programme [801015]
2021-04-212021-04-212024-08-30Bibliographically approved