Detection of false sharing using machine learning. - Sanath Jayasena; Saman P. Amarasinghe; Asanka Abeyweera; Gayashan Amarasinghe; Himeshi De Silva; Sunimal Rathnayake; Xiaoqiao Meng; Yanbin Liu (SC, 2013)

Making Strassen Matrix Multiplication Safe. - Himeshi De Silva; John L. Gustafson; Weng-Fai Wong (HiPC, 2018)

ApproxSymate: path sensitive program approximation using symbolic execution. - Himeshi De Silva; Andrew E. Santosa; Nhut-Minh Ho; Weng-Fai Wong (LCTES, 2019)

Posit Arithmetic for the Training and Deployment of Generative Adversarial Networks. - Nhut-Minh Ho; Duy Thanh Nguyen; Himeshi De Silva; John L. Gustafson; Weng-Fai Wong; Ik Joon Chang (DATE, 2021)

GRAM: A Framework for Dynamically Mixing Precisions in GPU Applications. - Nhut-Minh Ho; Himeshi De Silva; Weng-Fai Wong (ACM Trans. Archit. Code Optim., 2021)

Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning. - Nhut-Minh Ho; Himeshi De Silva; John L. Gustafson; Weng-Fai Wong (CoNGA, 2022)

Towards a Better 16-Bit Number Representation for Training Neural Networks. - Himeshi De Silva; Hongshi Tan; Nhut-Minh Ho; John L. Gustafson; Weng-Fai Wong (CoNGA, 2023)