Special Issue on Optoelectronic Devices Based on Quantum Dots. - Pallab Bhattacharya; Dieter Bimberg; Yasuhiko Arakawa (Proc. IEEE, 2007)

End-to-End Java Security Performance Enhancements for Oracle SPARC Servers. - Luyang Wang; Pallab Bhattacharya; Yao-Min Chen; Shrinivas Joshi; James Cheng (ICPE, 2016)

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. - Dheevatsa Mudigere; Yuchen Hao; Jianyu Huang; Andrew Tulloch; Srinivas Sridharan 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; Leon Gao; et al. (CoRR, 2021)

Software-hardware co-design for fast and scalable training of deep learning recommendation models. - Dheevatsa Mudigere; Yuchen Hao; Jianyu Huang; Zhihao Jia; Andrew Tulloch; Srinivas Sridharan 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; et al. (ISCA, 2022)

TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory. - Hasan Al Maruf; Hao Wang; Abhishek Dhanotia; Johannes Weiner; Niket Agarwal; Pallab Bhattacharya; Chris Petersen; Mosharaf Chowdhury; Shobhit O. Kanaujia; Prakash Chauhan (ASPLOS (3), 2023)

FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models. - Geet Sethi; Pallab Bhattacharya; Dhruv Choudhary; Carole-Jean Wu; Christos Kozyrakis (CoRR, 2023)

Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms. - Zhongyi Lin; Ning Sun; Pallab Bhattacharya; Xizhou Feng; Louis Feng; John D. Owens (CoRR, 2024)

Nemotron-4 340B Technical Report. - Bo Adler; Niket Agarwal; Ashwath Aithal; Dong H. Anh; Pallab Bhattacharya; Annika Brundyn; Jared Casper; Bryan Catanzaro; Sharon Clay; Jonathan M. Cohen; Sirshak Das; Ayush Dattagupta; et al. (CoRR, 2024)