Potential of LUT-based PIM for DNNs 


Vol. 13,  No. 11, pp. 590-596, Nov.  2024
https://doi.org/10.3745/TKIPS.2024.13.11.590


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  Abstract

Processing-in-memory (PIM) is an accelerator that enables data to be processed closer to the stored memory. Due to the nature of PIM specialized in data movement, PIM can be used as an efficient accelerator in transformer-based generative model and recommendation system, which have recently garnered attention. In this paper, we examine the latest research trends of PIM that enhance the recommendtation system and generative language model, which are suitable applications for PIM usage. Additionally, we discuss the research direction of PIM based on previous studies. Lastly, we verify the effectiveness of LUT in PIM systems through experiments.

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[IEEE Style]

J. Hong and J. Lee, "Potential of LUT-based PIM for DNNs," The Transactions of the Korea Information Processing Society, vol. 13, no. 11, pp. 590-596, 2024. DOI: https://doi.org/10.3745/TKIPS.2024.13.11.590.

[ACM Style]

Junguk Hong and Jinho Lee. 2024. Potential of LUT-based PIM for DNNs. The Transactions of the Korea Information Processing Society, 13, 11, (2024), 590-596. DOI: https://doi.org/10.3745/TKIPS.2024.13.11.590.

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