|Title||Processing-in-Memory Technology for Machine Learning: From Basic to ASIC|
|Publication Type||Journal Article|
|Year of Publication||2022|
|Authors||B Taylor, Q Zheng, Z Li, S Li, and Y Chen|
|Journal||Ieee Transactions on Circuits and Systems Ii: Express Briefs|
|Pagination||2598 - 2603|
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.
|Short Title||Ieee Transactions on Circuits and Systems Ii: Express Briefs|