ELSA: Hardware-software co-design for efficient, lightweight self-attention mechanism in neural networks TJ Ham, Y Lee, SH Seo, S Kim, H Choi, SJ Jung, JW Lee 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 112 | 2021 |
Genesis: A hardware acceleration framework for genomic data analysis TJ Ham, D Bruns-Smith, B Sweeney, Y Lee, SH Seo, UG Song, YH Oh, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 35 | 2020 |
MERCI: efficient embedding reduction on commodity hardware via sub-query memoization Y Lee, SH Seo, H Choi, HU Sul, S Kim, JW Lee, TJ Ham Proceedings of the 26th ACM International Conference on Architectural …, 2021 | 25 | 2021 |
Genesis: a hardware acceleration framework for genomic data analysis. In 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA) TJ Ham, D Bruns-Smith, B Sweeney, Y Lee, SH Seo, UG Song, YH Oh, ... IEEE, 2020 | 8 | 2020 |
Accelerating genomic data analytics with composable hardware acceleration framework TJ Ham, Y Lee, SH Seo, UG Song, JW Lee, D Bruns-Smith, B Sweeney, ... IEEE Micro 41 (3), 42-49, 2021 | 6 | 2021 |
A 40nm 5.6TOPS/W 239GOPS/mm2 Self-Attention Processor with Sign Random Projection-based Approximation SH Seo, S Kim, SJ Jung, S Kwon, H Lee, JW Lee ESSCIRC 2022-IEEE 48th European Solid State Circuits Conference (ESSCIRC), 85-88, 2022 | 1 | 2022 |
Device for accelerating self-attention operation in neural networks YJ Lee, TJ Ham, SH Seo, SS Kim, HJ Choi, JW Lee, SJ Jung US Patent App. 17/864,235, 2023 | | 2023 |