| Autor: |
Je-Min Hung, Chuan-Jia Jhang, Yen-Cheng Chiu, Ping-Chun Wu, Meng-Fan Chang |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
IEEE Open Journal of the Solid-State Circuits Society. 1:171-183 |
| ISSN: |
2644-1349 |
| DOI: |
10.1109/ojsscs.2021.3123287 |
| Popis: |
Nonvolatile memory (NVM)-based computing-in-memory (nvCIM) is a promising candidate for artificial intelligence (AI) edge devices to overcome the latency and energy consumption imposed by the movement of data between memory and processors under the von Neumann architecture. This paper explores the background and basic approaches to nvCIM implementation, including input methodologies, weight formation and placement, and readout and quantization methods. This paper outlines the major challenges in the further development of nvCIM macros and reviews trends in recent silicon-verified devices. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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