Name
Abstract | ||
|---|---|---|
Editor's notes: Mobile devices are increasingly being used to run machine-learning-based applications. This article provides a quantitative evaluation of machine learning inference capabilities of the different components on mobile SoCs and explores their performance limits. -Sudeep Pasricha, Colorado State University. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MDAT.2020.2968258 | IEEE Design & Test |
Keywords | DocType | Volume |
Deep learning,convolutional neural networks,heterogeneous computing,embedded multiprocessor SoCs | Journal | 37 |
Issue | ISSN | Citations |
5 | 2168-2356 | 9 |
PageRank | References | Authors |
0.61 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siqi Wang | 1 | 37 | 5.39 |
| Anuj Pathania | 2 | 181 | 14.97 |
| Tulika Mitra | 3 | 2714 | 135.99 |