Configurable sparse matrix - matrix multiplication accelerator on FPGA: A systematic design space exploration approach with quantization effects
High-performance sparse matrix multipliers are essential for deep learning applications, and as big data analytics continues to evolve, specialized accelerators are also needed to efficiently handle sparse matrix operations. This paper proposes a modified, configurable, outer product based architect...
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| Principais autores: | , , , |
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| 格式: | Artigo |
| 语言: | Inglês |
| 出版: |
Elsevier
2024-03-01
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| 丛编: | Alexandria Engineering Journal |
| 主题: | |
| 在线阅读: | http://www.sciencedirect.com/science/article/pii/S1110016824001145 |
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