Alexander Tsyplikhin

According to our database, Alexander Tsyplikhin authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Toward a Holistic Performance Evaluation of Large Language Models Across Diverse AI Accelerators.

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

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2022

A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads.

Murali Emani, Zhen Xie, Siddhisanket Raskar, Varuni Sastry, William Arnold, Bruce Wilson, Rajeev Thakur, Venkatram Vishwanath, Zhengchun Liu, Michael E. Papka, Cindy Orozco Bohorquez, Rick Weisner, Karen Li, Yongning Sheng, Yun Du, Jian Zhang, Alexander Tsyplikhin, Gurdaman Khaira, Jeremy Fowers, Ramakrishnan Sivakumar, Victoria Godsoe, Adrián Macías, Chetan Tekur, Matthew Boyd

Proceedings of the IEEE/ACM International Workshop on Performance Modeling, 2022

Time-series ML-regression on Graphcore IPU-M2000 and Nvidia A100.

Jan Balewski, Zhenying Liu, Alexander Tsyplikhin, Manuel Lopez Roland, Kristofer E. Bouchard

Proceedings of the IEEE/ACM International Workshop on Performance Modeling, 2022

2021

NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU.

Edward H. Lee, Mario Michael Krell, Alexander Tsyplikhin, Victoria Rege, Errol Colak, Kristen W. Yeom

CoRR, 2021

2020

Accelerating Simulation-based Inference with Emerging AI Hardware.

Sourabh Kulkarni, Alexander Tsyplikhin, Mario Michael Krell, Csaba Andras Moritz

Proceedings of the International Conference on Rebooting Computing, 2020