Name
Abstract | ||
|---|---|---|
”Soft” GPUs are overlays that implement GPGPU-like data parallel processor architectures in FPGA logic to make FPGAs as software-programmable as ”hard” GPGPUs. Unlike hard GPUs, soft GPU architectures can be specialized to further improve efficiency by leveraging FPGA’s flexibility. Prior work has shown the software programmability potential for soft GPUs but only studied general-purpose soft GPUs... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/FPL53798.2021.00031 | 2021 31st International Conference on Field-Programmable Logic and Applications (FPL) |
Keywords | DocType | ISSN |
Deep learning,Codes,Architecture,Buildings,Graphics processing units,Computer architecture,Tools | Conference | 1946-1488 |
ISBN | Citations | PageRank |
978-1-6654-3759-2 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Ma | 1 | 1 | 1.02 |
| Jia-Ching Hsu | 2 | 1 | 0.68 |
| Tian Tan | 3 | 3 | 2.11 |
| Eriko Nurvitadhi | 4 | 399 | 33.08 |
| Rajesh Vivekanandham | 5 | 0 | 0.34 |
| Aravind Dasu | 6 | 10 | 4.47 |
| Martin Langhammer | 7 | 104 | 20.22 |
| Derek Chiou | 8 | 718 | 48.97 |