What Operations can be Performed Directly on Compressed Arrays, and with What Error? - Tripti Agarwal; Harvey Dam; Ponnuswamy Sadayappan; Ganesh Gopalakrishnan; Dorra Ben Khalifa; Matthieu Martel (SC Workshops, 2023)

An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report. - Mary W. Hall; Ganesh Gopalakrishnan; Eric Eide; Johanna Cohoon; Jeff M. Phillips; Mu Zhang 001; Shireen Y. Elhabian; Aditya Bhaskara; Harvey Dam; Artem Yadrov; Tushar Kataria; Amir Mohammad Tavakkoli; et al. (SC Workshops, 2023)

Understanding the Effect of the Long Tail on Neural Network Compression. - Harvey Dam; Vinu Joseph; Aditya Bhaskara; Ganesh Gopalakrishnan; Saurav Muralidharan; Michael Garland (CoRR, 2023)

MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. - Bo Fang 002; Xinyi Li; Harvey Dam; Cheng Tan 002; Siva Kumar Sastry Hari; Timothy Tsai 002; Ignacio Laguna; Dingwen Tao; Ganesh Gopalakrishnan; Prashant J. Nair; Kevin J. Barker; Ang Li 006 (CoRR, 2023)

Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience. - Bo Fang 002; Xinyi Li; Harvey Dam; Cheng Tan 002; Siva Kumar Sastry Hari; Timothy Tsai 002; Ignacio Laguna; Dingwen Tao; Ganesh Gopalakrishnan; Prashant J. Nair; Kevin J. Barker; Ang Li 006 (CLUSTER, 2024)

Array Programming on GPUs: Challenges and Opportunities. - Xinyi Li; Mark Baranowski; Harvey Dam; Ganesh Gopalakrishnan (ARRAY@PLDI, 2025)

Directional Sign Loss: A Topology-Preserving Loss Function that Approximates the Sign of Finite Differences. - Harvey Dam; Tripti Agarwal; Ganesh Gopalakrishnan (CoRR, 2025)

Derailing Non-Answers via Logit Suppression at Output Subspace Boundaries in RLHF-Aligned Language Models. - Harvey Dam; Jonas P. Knochelmann; Vinu Joseph; Ganesh Gopalakrishnan (CoRR, 2025)