Title
Portable exploitation of parallel and heterogeneous HPC architectures in neural simulation using SkePU
Abstract
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.
Year
DOI
Venue
2020
10.1145/3378678.3391889
SCOPES '20: 23rd International Workshop on Software and Compilers for Embedded Systems St. Goar Germany May, 2020
Keywords
DocType
ISBN
skeleton programming, neural simulation, HPC systems
Conference
978-1-4503-7131-5
Citations 
PageRank 
References 
0
0.34
0
Authors
6