Energy-Accuracy Trade-Offs for Resistive In-Memory Computing Architectures
Resistive in-memory computing (IMC) architectures currently lag behind SRAM IMCs and digital accelerators in both energy efficiency and compute density due to their low compute accuracy. This article proposes the use of signal-to-noise-plus-distortion ratio (SNDR) to quantify the compute accuracy of...
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| Main Authors: | Saion K. Roy, Naresh R. Shanbhag |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Journal on Exploratory Solid-State Computational Devices and Circuits |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10478888/ |
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