Design of Analog and Digital Hybrid MAC Circuit for Artificial Neural Networks
| Autor: | Young-Deuk Jeon, Ki-Hyuk Park, Min-hyung Cho, Joohyun Lee |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer Science::Hardware Architecture
Computer Science::Emerging Technologies Quantitative Biology::Neurons and Cognition Artificial neural network business.industry Computer science Computer Science::Networking and Internet Architecture Preprocessor Hardware acceleration business Computer hardware Power (physics) |
| Zdroj: | ICEIC |
| DOI: | 10.23919/elinfocom.2019.8706340 |
| Popis: | Demand for high-performance hardware acceleration for machine learning applications is increasing rapidly. This paper presents a low power analog and digital hybrid MAC (Multiply and Accumulation) circuit for artificial neural networks. The proposed MAC circuit consists of an analog synapse unit, digital preprocessing and postprocessing unit for support of the parallel analog synapse cores. As the hybrid MAC circuit supports relatively low power and fast multiple MAC operations, it provides a good advantage in developing hardware accelerator for artificial neural networks. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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