Name
Title | ||
|---|---|---|
FlexACC: A Programmable Accelerator with Application-Specific ISA for Flexible Deep Neural Network Inference |
Abstract | ||
|---|---|---|
Deep neural networks (DNN) have become ubiquitous and dominant in various application domains due to its state-of-the-art learning capabilities. To run compute and memory intensive DNN models, designing specialized hardware accelerators becomes the common choice. However, the performance improvement in accelerators comes with limitations on programmability, which has become crucial given the rapid... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ASAP52443.2021.00046 | 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP) |
Keywords | DocType | ISSN |
Deep learning,Analytical models,Program processors,Computational modeling,Conferences,Systems architecture,Convolutional neural networks | Conference | 2160-0511 |
ISBN | Citations | PageRank |
978-1-6654-2701-2 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| En-Yu Yang | 1 | 10 | 2.31 |
| Tianyu Jia | 2 | 11 | 6.74 |
| David Brooks | 3 | 5518 | 422.08 |
| Gu-Yeon Wei | 4 | 2 | 1.40 |