embedded nonvolatile memory (eNVM)

Energy-Accuracy Trade-Offs for Resistive In-Memory Computing Architectures

Energy-Accuracy Trade-Offs for Resistive In-Memory Computing Architectures 150 150

Abstract:

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 IMCs and identify the device, circuit, and architectural parameters …

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