An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor
In-Memory Computing (IMC) is emerging as a new paradigm to address the von-Neumann bottleneck (VNB) in data-intensive applications. In this paper, an energy-efficient 10T SRAM-based IMC macro architecture is proposed to perform logic, arithmetic, and In-memory Dot Product (IMDP) operations. The aver...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
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| Series: | Memories - Materials, Devices, Circuits and Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773064623000531 |