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20232026
most citedparti-gem5: gem5's Timing Mode Parallelised

6 citations · 6 across the 7 of their papers we have counts for

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cs.LG2026

Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators

Rebecca Pelke, Joel Klein, Jose Cubero-Cascante +3

Computing-in-Memory (CIM) accelerators are a promising solution for accelerating Machine Learning (ML) workloads, as they perform Matrix-Vector Multiplications (MVMs) on crossbar a…