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Processing-in-Memory Technology for Machine Learning: From Basic to ASIC
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DOI：10.1109/TCSII.2022.3168404.png)
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Abstract
En 中文
Due to the need for computing models that can process large quantities of data efficiently and with high throughput in many state-of-the-art machine learning algorithms, the processing-in-memory (PIM) paradigm is emerging as a potential replacement for standard digital architectures on these workloads. In this tutorial, we review the progress of PIM technology in recent years, at both the circuit and architecture level. We further present an analysis of when and how PIM technology surpasses the performance of conventional architectures. Finally, we outline our vision for the future of PIM technology.
Keywords:
Processing-in-memory
machine learning accelerator
analogcomputation
dataflow optimization
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