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)

Just-in-time Quantization with Processing-In-Memory for Efficient ML Training. - Mohamed Assem Ibrahim; Shaizeen Aga; Ada Li; Suchita Pati; Mahzabeen Islam (CoRR, 2023)

JIT-Q: Just-in-time Quantization with Processing-In-Memory for Efficient ML Training. - Mohamed Assem Ibrahim; Shaizeen Aga; Ada Li; Suchita Pati; Mahzabeen Islam (MLSys, 2024)