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2020 – today
- 2024
[e1]Marek T. Michalewicz
, John L. Gustafson, Himeshi De Silva:
Next Generation Arithmetic - 5th International Conference, CoNGA 2024, Sydney, NSW, Australia, February 20-21, 2024, Proceedings. Lecture Notes in Computer Science 14666, Springer 2024, ISBN 978-3-031-72708-5 [contents]- 2023
- [c6]Himeshi De Silva, Hongshi Tan, Nhut-Minh Ho, John L. Gustafson, Weng-Fai Wong:
Towards a Better 16-Bit Number Representation for Training Neural Networks. CoNGA 2023: 114-133 - 2022
- [c5]Nhut-Minh Ho, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong:
Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning. CoNGA 2022: 31-49 - 2021
- [j1]Nhut-Minh Ho, Himeshi De Silva, Weng-Fai Wong:
GRAM: A Framework for Dynamically Mixing Precisions in GPU Applications. ACM Trans. Archit. Code Optim. 18(2): 19:1-19:24 (2021) - [c4]Nhut-Minh Ho, Duy Thanh Nguyen, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong, Ik Joon Chang:
Posit Arithmetic for the Training and Deployment of Generative Adversarial Networks. DATE 2021: 1350-1355
2010 – 2019
- 2019
- [c3]Himeshi De Silva, Andrew E. Santosa, Nhut-Minh Ho, Weng-Fai Wong:
ApproxSymate: path sensitive program approximation using symbolic execution. LCTES 2019: 148-162 - 2018
- [c2]Himeshi De Silva, John L. Gustafson, Weng-Fai Wong:
Making Strassen Matrix Multiplication Safe. HiPC 2018: 173-182 - 2013
- [c1]Sanath Jayasena, Saman P. Amarasinghe, Asanka Abeyweera, Gayashan Amarasinghe, Himeshi De Silva, Sunimal Rathnayake, Xiaoqiao Meng, Yanbin Liu:
Detection of false sharing using machine learning. SC 2013: 30:1-30:9
Coauthor Index
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