Siddhisanket Raskar

According to our database, Siddhisanket Raskar authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Thorough Characterization and Analysis of Large Transformer Model Training At-Scale.

Scott Cheng, Jun-Liang Lin, Murali Emani, Siddhisanket Raskar, Sam Foreman, Zhen Xie, Venkatram Vishwanath, Mahmut Taylan Kandemir

Proc. ACM Meas. Anal. Comput. Syst., 2024

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators.

Krishna Teja Chitty-Venkata, Siddhisanket Raskar, Bharat Kale, Farah Ferdaus, Aditya Tanikanti, Ken Raffenetti, Valerie Taylor, Murali Emani, Venkatram Vishwanath

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 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

2023

A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators.

Murali Emani, Sam Foreman, Varuni Sastry, Zhen Xie, Siddhisanket Raskar, William Arnold, Rajeev Thakur, Venkatram Vishwanath, Michael E. Papka

CoRR, 2023

Implementation of Dataflow Software Pipelining for Codelet Model.

Siddhisanket Raskar, Jose Manuel Monsalve Diaz, Thomas Applencourt, Kalyan Kumaran, Guang Gao

Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Characterizing the Performance of Triangle Counting on Graphcore's IPU Architecture.

Reet Barik, Siddhisanket Raskar, Murali Emani, Venkatram Vishwanath

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation.

Gaurav Verma, Siddhisanket Raskar, Zhen Xie, Abid M. Malik, Murali Emani, Barbara M. Chapman

Proceedings of the 2nd International Workshop on Extreme Heterogeneity Solutions, 2023

Towards Maximum Throughput of Dataflow Software Pipeline under Resource Constraints.

Siddhisanket Raskar, Thomas Applencourt, Kalyan Kumaran, Guang Gao

Proceedings of the 14th International Workshop on Programming Models and Applications for Multicores and Manycores, 2023

Codelet Pipe: Realization of Dataflow Software Pipelining for Extended Codelet Model.

Siddhisanket Raskar, Thomas Applencourt, Kalyan Kumaran, Guang R. Gao

Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

TrainBF: High-Performance DNN Training Engine Using BFloat16 on AI Accelerators.

Zhen Xie, Siddhisanket Raskar, Murali Emani, Venkatram Vishwanath

Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

Towards Fault Tolerance and Resilience in the Sequential Codelet Model.

Diego A. Roa Perdomo, Rafael A. Herrera Guaitero, Dawson Fox, Hervé Yviquel, Siddhisanket Raskar, Xiaoming Li, Jose Manuel Monsalve Diaz

Proceedings of the High Performance Computing - 10th Latin American Conference, 2023

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

Throughput-oriented and Accuracy-aware DNN Training with BFloat16 on GPU.

Zhen Xie, Siddhisanket Raskar, Murali Emani

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2020

DEMAC: A Modular Platform for HW-SW Co-Design.

Diego A. Roa Perdomo, Ryan Kabrick, Jose Manuel Monsalve Diaz, Siddhisanket Raskar, Dawson Fox, Guang R. Gao

Proceedings of the Fourth IEEE/ACM Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware, 2020

CODIR: Towards an MLIR Codelet Model Dialect.

Ryan Kabrick, Diego A. Roa Perdomo, Siddhisanket Raskar, Jose Manuel Monsalve Diaz, Dawson Fox, Guang R. Gao

Proceedings of the Fourth IEEE/ACM Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware, 2020

2019

Toward A High-Performance Emulation Platformfor Brain-Inspired Intelligent SystemsExploring Dataflow-Based Execution Model and Beyond.

Sihan Zeng, Jose Manuel Monsalve Diaz, Siddhisanket Raskar

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

Position Paper: Extending Codelet Model for Dataflow Software Pipelining using Software-Hardware Co-Design.

Siddhisanket Raskar, Thomas Applencourt, Kalyan Kumaran, Guang Gao

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019