Abstract | ||
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Deep learning has sparked a renaissance in computer systems and architecture. Despite the breakneck pace of innovation, there is a crucial issue concerning the research and industry communities at large: how to enable neutral and useful performance assessment for machine learning (ML) software frameworks, ML hardware accelerators, and ML systems comprising both the software stack and the hardware.... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/MM.2021.3066343 | IEEE Micro |
Keywords | DocType | Volume |
Benchmark testing,Task analysis,Software,Hardware,Measurement,Object detection,Image segmentation | Journal | 41 |
Issue | ISSN | Citations |
3 | 0272-1732 | 0 |
PageRank | References | Authors |
0.34 | 0 | 20 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vijay Janapa Reddi | 1 | 1 | 0.72 |
Christine Cheng | 2 | 24 | 3.16 |
David Kanter | 3 | 0 | 0.34 |
Peter Mattson | 4 | 8 | 1.56 |
Guenther Schmuelling | 5 | 0 | 0.34 |
Carole-Jean Wu | 6 | 0 | 1.35 |
Brian Anderson | 7 | 2 | 1.03 |
Maximilien Breughe | 8 | 0 | 0.34 |
Ramesh Chukka | 9 | 0 | 0.34 |
Cody Coleman | 10 | 0 | 0.34 |
Hubara, Itay | 11 | 360 | 17.05 |
Thomas B. Jablin | 12 | 0 | 0.34 |
Pankaj Kanwar | 13 | 0 | 0.68 |
Anton Lokhmotov | 14 | 0 | 1.01 |
Francisco Massa | 15 | 38 | 2.83 |
Gennady Pekhimenko | 16 | 706 | 28.75 |
Ashish Sirasao | 17 | 3 | 1.08 |
Tom St. John | 18 | 0 | 0.34 |
George Yuan | 19 | 0 | 1.01 |
Dilip Sequeira | 20 | 0 | 0.34 |