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2020 – today
- 2024
[c3]Krishna Teja Chitty-Venkata, Varuni Katti Sastry, Murali Emani, Venkatram Vishwanath, Sanjif Shanmugavelu, Sylvia Howland:
WActiGrad: Structured Pruning for Efficient Finetuning and Inference of Large Language Models on AI Accelerators. Euro-Par (2) 2024: 317-331- [c2]Murali Emani, Sam Foreman, Varuni Sastry, Zhen Xie, Siddhisanket Raskar, William Arnold, Rajeev Thakur, Venkatram Vishwanath, Michael E. Papka, Sanjif Shanmugavelu, Darshan Gandhi, Hengyu Zhao, Dun Ma, Kiran Ranganath, Rick Weisner, Jiunn-yeu Chen, Yuting Yang, Natalia Vassilieva, Bin C. Zhang, Sylvia Howland, Alexander Tsyplikhin:
Toward a Holistic Performance Evaluation of Large Language Models Across Diverse AI Accelerators. IPDPS (Workshops) 2024: 1-10 - [i2]Christopher Culver, Peter Hicks, Mihailo Milenkovic, Sanjif Shanmugavelu, Tobias Becker:
Scientific Computing with Large Language Models. CoRR abs/2406.07259 (2024) - [i1]Sanjif Shanmugavelu, Mathieu Taillefumier, Christopher Culver, Oscar R. Hernandez, Mark Coletti, Ada Sedova:
Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications. CoRR abs/2408.05148 (2024) - 2023
- [c1]Ryien Hosseini, Filippo Simini
, Venkatram Vishwanath, Ramakrishnan Sivakumar, Sanjif Shanmugavelu, Zhengyu Chen, Lev Zlotnik, Mingran Wang, Philip Colangelo, Andrew Deng, Philip Lassen, Shukur Pathan:
Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads. ISC Workshops 2023: 648-661
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