The Open Domain-Specific Architecture. - Bapiraju Vinnakota; Ishwar Agarwal; Kevin Drucker; Dharmesh Jani; Gary Miller; Millind Mittal; Robert Wang 005 (IEEE Micro, 2021)

Microscaling Data Formats for Deep Learning. - Bita Darvish Rouhani; Ritchie Zhao; Ankit More; Mathew Hall; Alireza Khodamoradi; Summer Deng; Dhruv Choudhary; Marius Cornea; Eric Dellinger; Kristof Denolf; Dusan Stosic; Venmugil Elango; et al. (CoRR, 2023)

Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets. - Zhuoping Yang; Shixin Ji; Xingzhen Chen; Jinming Zhuang; Weifeng Zhang; Dharmesh Jani; Peipei Zhou 001 (ASPDAC, 2024)

Beyond the Buzz: A Pragmatic Take on Inference Disaggregation. - Tiyasa Mitra; Ritika Borkar; Nidhi Bhatia; Ramon Matas; Shivam Raj; Dheevatsa Mudigere; Ritchie Zhao; Maximilian Golub; Arpan Dutta; Sailaja Madduri; Dharmesh Jani; Brian Pharris; et al. (CoRR, 2025)