Name
Abstract | ||
|---|---|---|
Domain-specific accelerators obtain performance benefits by restricting their algorithmic domain. These accelerators utilize specialized languages constrained to particular hardware, thus trading off expressiveness for high performance. The pendulum has swung from one hardware for all domains (general-purpose processors) to one hardware per individual domain. The middle-ground on this spectrum–whi... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/HPCA51647.2021.00015 | 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) |
Keywords | DocType | ISSN |
Deep learning,Bridges,Data analysis,Signal processing algorithms,Computer architecture,Hardware,Acceleration | Conference | 1530-0897 |
ISBN | Citations | PageRank |
978-1-6654-2235-2 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sean Kinzer | 1 | 7 | 2.14 |
| Joon Kyung Kim | 2 | 0 | 0.34 |
| Soroush Ghodrati | 3 | 13 | 1.94 |
| Brahmendra Yatham | 4 | 0 | 0.34 |
| Alric Althoff | 5 | 0 | 0.34 |
| Divya Mahajan | 6 | 0 | 0.34 |
| Sorin Lerner | 7 | 0 | 0.34 |
| H. Esmaeilzadeh | 8 | 1443 | 69.71 |