Himeshi De Silva

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 6

Top Topics

Matrix Multiplication

Machine Learning

Test Generation

Top Venues

ACM Trans. Archit. Code Optim.

Publications

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)
Nhut-Minh Ho, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong
Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning. CoNGA (2022)
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)
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) (2021)
Himeshi De Silva, Andrew E. Santosa, Nhut-Minh Ho, Weng-Fai Wong
ApproxSymate: path sensitive program approximation using symbolic execution. LCTES (2019)
Himeshi De Silva, John L. Gustafson, Weng-Fai Wong
Making Strassen Matrix Multiplication Safe. HiPC (2018)
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)