Processing-in-Memory Technology for Machine Learning: From Basic to ASIC
Publication
, Journal Article
Taylor, B; Zheng, Q; Li, Z; Li, S; Chen, Y
Published in: IEEE Transactions on Circuits and Systems II: Express Briefs
June 1, 2022
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.
Duke Scholars
Published In
IEEE Transactions on Circuits and Systems II: Express Briefs
DOI
EISSN
1558-3791
ISSN
1549-7747
Publication Date
June 1, 2022
Volume
69
Issue
6
Start / End Page
2598 / 2603
Related Subject Headings
- Electrical & Electronic Engineering
- 4009 Electronics, sensors and digital hardware
- 4006 Communications engineering
- 0906 Electrical and Electronic Engineering
Citation
APA
Chicago
ICMJE
MLA
NLM
Taylor, B., Zheng, Q., Li, Z., Li, S., & Chen, Y. (2022). Processing-in-Memory Technology for Machine Learning: From Basic to ASIC. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(6), 2598–2603. https://doi.org/10.1109/TCSII.2022.3168404
Taylor, B., Q. Zheng, Z. Li, S. Li, and Y. Chen. “Processing-in-Memory Technology for Machine Learning: From Basic to ASIC.” IEEE Transactions on Circuits and Systems II: Express Briefs 69, no. 6 (June 1, 2022): 2598–2603. https://doi.org/10.1109/TCSII.2022.3168404.
Taylor B, Zheng Q, Li Z, Li S, Chen Y. Processing-in-Memory Technology for Machine Learning: From Basic to ASIC. IEEE Transactions on Circuits and Systems II: Express Briefs. 2022 Jun 1;69(6):2598–603.
Taylor, B., et al. “Processing-in-Memory Technology for Machine Learning: From Basic to ASIC.” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 6, June 2022, pp. 2598–603. Scopus, doi:10.1109/TCSII.2022.3168404.
Taylor B, Zheng Q, Li Z, Li S, Chen Y. Processing-in-Memory Technology for Machine Learning: From Basic to ASIC. IEEE Transactions on Circuits and Systems II: Express Briefs. 2022 Jun 1;69(6):2598–2603.
Published In
IEEE Transactions on Circuits and Systems II: Express Briefs
DOI
EISSN
1558-3791
ISSN
1549-7747
Publication Date
June 1, 2022
Volume
69
Issue
6
Start / End Page
2598 / 2603
Related Subject Headings
- Electrical & Electronic Engineering
- 4009 Electronics, sensors and digital hardware
- 4006 Communications engineering
- 0906 Electrical and Electronic Engineering