References & Citations
Electrical Engineering and Systems Science > Signal Processing
Title: A Calibratable Model for Fast Energy Estimation of MVM Operations on RRAM Crossbars
(Submitted on 7 May 2024 (v1), last revised 13 May 2024 (this version, v2))
Abstract: The surge in AI usage demands innovative power reduction strategies. Novel Compute-in-Memory (CIM) architectures, leveraging advanced memory technologies, hold the potential for significantly lowering energy consumption by integrating storage with parallel Matrix-Vector-Multiplications (MVMs). This study addresses the 1T1R RRAM crossbar, a core component in numerous CIM architectures. We introduce an abstract model and a calibration methodology for estimating operational energy. Our tool condenses circuit-level behaviour into a few parameters, facilitating energy assessments for DNN workloads. Validation against low-level SPICE simulations demonstrates speedups of up to 1000x and energy estimations with errors below 1%.
Submission history
From: José Cubero-Cascante [view email][v1] Tue, 7 May 2024 13:55:16 GMT (418kb,D)
[v2] Mon, 13 May 2024 12:32:43 GMT (419kb,D)
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