Name
Abstract | ||
|---|---|---|
Over the past several years, new machine learning accelerators were being announced and released every month for a variety of applications from speech recognition, video object detection, assisted driving, and many data center applications. This paper updates the survey of AI accelerators and processors from past two years. This paper collects and summarizes the cur-rent commercial accelerators th... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/HPEC49654.2021.9622867 | 2021 IEEE High Performance Extreme Computing Conference (HPEC) |
Keywords | DocType | ISSN |
Machine learning,GPU,TPU,dataflow,accelerator,embedded inference,computational performance | Conference | 2377-6943 |
ISBN | Citations | PageRank |
978-1-6654-2369-4 | 2 | 0.39 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Albert Reuther | 1 | 335 | 37.32 |
| Peter Michaleas | 2 | 201 | 20.93 |
| Michael J. Jones | 3 | 11341 | 927.21 |
| Vijay Gadepally | 4 | 449 | 50.53 |
| Siddharth Samsi | 5 | 201 | 24.09 |
| Jeremy Kepner | 6 | 606 | 61.58 |