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CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators
May 9, 2024, 4:47 a.m. | Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang
cs.CL updates on arXiv.org arxiv.org
Abstract: In recent years, various computing-in-memory (CIM) processors have been presented, showing superior performance over traditional architectures. To unleash the potential of various CIM architectures, such as device precision, crossbar size, and crossbar number, it is necessary to develop compilation tools that are fully aware of the CIM architectural details and implementation diversity. However, due to the lack of architectural support in current popular open-source compiling stacks, existing CIM designs either manually deploy networks or build …
abstract accelerators architectures arxiv compilation computing cs.ar cs.cl in-memory memory mlc performance precision processors stack tools type
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