A Generalized Block-Matrix Circuit for Closed-Loop Analog In-Memory Computing
Matrix-based computing is ubiquitous in an increasing number of present-day machine learning applications such as neural networks, regression, and 5G communications. Conventional systems based on von-Neumann architecture are limited by the energy and latency bottleneck induced by the physical separa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Journal on Exploratory Solid-State Computational Devices and Circuits |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10097860/ |