2 papers
cs.LG2026
OpenACMv2: An Accuracy-Constrained Co-Optimization Framework for Approximate DCiM
Yiqi Zhou, Yue Yuan, Yikai Wang +8
Digital Compute-in-Memory (DCiM) accelerates neural networks by reducing data movement. Approximate DCiM can further improve power-performance-area (PPA), but demands accuracy-cons…
cs.AR2026
OpenACM: An Open-Source SRAM-Based Approximate CiM Compiler
Yiqi Zhou, JunHao Ma, Xingyang Li +10
The rise of data-intensive AI workloads has exacerbated the ``memory wall'' bottleneck. Digital Compute-in-Memory (DCiM) using SRAM offers a scalable solution, but its vast design…