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Analyzing the energy-efficiency of sparse matrix multiplication on heterogeneous systems: A comparative study of GPU, Xeon Phi and FPGA.
- Source :
- 2016 IEEE International Symposium on Performance Analysis of Systems & Software (ISPASS); 2016, p46-56, 11p
- Publication Year :
- 2016
Details
- Language :
- English
- ISBNs :
- 9781509019533
- Database :
- Complementary Index
- Journal :
- 2016 IEEE International Symposium on Performance Analysis of Systems & Software (ISPASS)
- Publication Type :
- Conference
- Accession number :
- 116449772
- Full Text :
- https://doi.org/10.1109/ISPASS.2016.7482073