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Alexander Tsyplikhin
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2020 – today
- 2024
- [c4]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 - 2022
- [c3]Murali Emani, Zhen Xie, Siddhisanket Raskar, Varuni Sastry, William Arnold, Bruce Wilson, Rajeev Thakur
, Venkatram Vishwanath, Zhengchun Liu, Michael E. Papka
A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads. PMBS@SC 2022: 13-25 - [c2]Jan Balewski, Zhenying Liu, Alexander Tsyplikhin, Manuel Lopez Roland, Kristofer E. Bouchard:
Time-series ML-regression on Graphcore IPU-M2000 and Nvidia A100. PMBS@SC 2022: 141-146 - 2021
- [i1]Edward H. Lee, Mario Michael Krell, Alexander Tsyplikhin, Victoria Rege, Errol Colak, Kristen W. Yeom:
NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU. CoRR abs/2109.12191 (2021) - 2020
- [c1]Sourabh Kulkarni, Alexander Tsyplikhin, Mario Michael Krell
Accelerating Simulation-based Inference with Emerging AI Hardware. ICRC 2020: 126-132
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