2 papers
cs.AR2026
AccelCIM: Systematic Dataflow Exploration for SRAM Compute-in-Memory Accelerator
Chenhao Xue, Yukun Wang, An Guo +11
SRAM-based compute-in-memory (CIM) offers high computational density and energy efficiency for deep neural network (DNN) accelerators, but its limited capacity causes on/off-chip d…
cs.AR2026
CIM-Tuner: Balancing the Compute and Storage Capacity of SRAM-CIM Accelerator via Hardware-mapping Co-exploration
Jinwu Chen, Yuhui Shi, He Wang +4
As an emerging type of AI computing accelerator, SRAM Computing-In-Memory (CIM) accelerators feature high energy efficiency and throughput. However, various CIM designs and under-e…