MARS: Multi-macro Architecture SRAM CIM-Based Accelerator with Co-designed Compressed Neural Networks

Convolutional neural networks (CNNs) play a key role in deep learning applications. However, the large storage overheads and the substantial computation cost of CNNs are problematic in hardware accelerators. Computing-in-memory (CIM) architecture has demonstrated great potential to effectively compu...

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Vydané v:	arXiv.org
Hlavní autori:	Syuan-Hao Sie, Lee, Jye-Luen, Yi-Ren, Chen, Chih-Cheng, Lu, Chih-Cheng Hsieh, Meng-Fan, Chang, Tang, Kea-Tiong
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 25.05.2021
Predmet:	Accelerators Algorithms Artificial neural networks Co-design Computer architecture Hardware Machine learning Macros Matrix algebra Matrix methods Measurement Multiplication Neural networks Random access memory Sparsity Static random access memory
ISSN:	2331-8422
On-line prístup:	Získať plný text
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