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ORCIDSiddhisanket Raskar
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Journal Articles
- 2024
[j1]Scott Cheng
, Jun-Liang Lin, Murali Emani, Siddhisanket Raskar, Sam Foreman, Zhen Xie, Venkatram Vishwanath, Mahmut Taylan Kandemir:
Thorough Characterization and Analysis of Large Transformer Model Training At-Scale. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 8:1-8:25 (2024)
Conference and Workshop Papers
- 2024
- [c15]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 - [c14]Scott Cheng, Jun-Liang Lin, Murali Emani, Siddhisanket Raskar, Sam Foreman, Zhen Xie, Venkatram Vishwanath, Mahmut T. Kandemir:
Thorough Characterization and Analysis of Large Transformer Model Training At-Scale. SIGMETRICS/Performance (Abstracts) 2024: 39-40 - 2023
- [c13]Diego A. Roa Perdomo, Rafael A. Herrera Guaitero, Dawson Fox, Hervé Yviquel, Siddhisanket Raskar, Xiaoming Li, Jose Manuel Monsalve Diaz:
Towards Fault Tolerance and Resilience in the Sequential Codelet Model. CARLA 2023: 77-94 - [c12]Zhen Xie, Siddhisanket Raskar, Murali Emani, Venkatram Vishwanath:
TrainBF: High-Performance DNN Training Engine Using BFloat16 on AI Accelerators. Euro-Par 2023: 458-473 - [c11]Siddhisanket Raskar, Thomas Applencourt, Kalyan Kumaran, Guang R. Gao:
Codelet Pipe: Realization of Dataflow Software Pipelining for Extended Codelet Model. ICPP Workshops 2023: 127-135 - [c10]Gaurav Verma, Siddhisanket Raskar, Zhen Xie, Abid M. Malik, Murali Emani, Barbara M. Chapman:
Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation. ExHET@PPoPP 2023: 2:1-2:6 - [c9]Siddhisanket Raskar, Thomas Applencourt, Kalyan Kumaran, Guang Gao:
Towards Maximum Throughput of Dataflow Software Pipeline under Resource Constraints. PMAM@PPoPP 2023: 20-28 - [c8]Reet Barik, Siddhisanket Raskar, Murali Emani, Venkatram Vishwanath:
Characterizing the Performance of Triangle Counting on Graphcore's IPU Architecture. SC Workshops 2023: 1949-1957 - [c7]Siddhisanket Raskar, Jose Manuel Monsalve Diaz, Thomas Applencourt, Kalyan Kumaran, Guang Gao:
Implementation of Dataflow Software Pipelining for Codelet Model. ICPE 2023: 161-172 - 2022
- [c6]Zhen Xie, Siddhisanket Raskar, Murali Emani:
Throughput-oriented and Accuracy-aware DNN Training with BFloat16 on GPU. IPDPS Workshops 2022: 1084-1087 - [c5]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:
A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads. PMBS@SC 2022: 13-25 - 2020
- [c4]Diego A. Roa Perdomo, Ryan Kabrick, Jose Manuel Monsalve Diaz, Siddhisanket Raskar, Dawson Fox, Guang R. Gao:
DEMAC: A Modular Platform for HW-SW Co-Design. IPDRM@SC 2020: 25-32 - [c3]Ryan Kabrick, Diego A. Roa Perdomo, Siddhisanket Raskar, Jose Manuel Monsalve Diaz, Dawson Fox, Guang R. Gao:
CODIR: Towards an MLIR Codelet Model Dialect. IPDRM@SC 2020: 33-40 - 2019
- [c2]Sihan Zeng, Jose Manuel Monsalve Diaz, Siddhisanket Raskar:
Toward A High-Performance Emulation Platformfor Brain-Inspired Intelligent SystemsExploring Dataflow-Based Execution Model and Beyond. COMPSAC (2) 2019: 628-633 - [c1]Siddhisanket Raskar, Thomas Applencourt, Kalyan Kumaran, Guang Gao:
Position Paper: Extending Codelet Model for Dataflow Software Pipelining using Software-Hardware Co-Design. COMPSAC (2) 2019: 640-645
Informal and Other Publications
- 2023
- [i2]Gaurav Verma, Siddhisanket Raskar, Zhen Xie, Abid M. Malik, Murali Emani, Barbara M. Chapman:
Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation. CoRR abs/2304.05430 (2023) - [i1]Murali Emani, Sam Foreman, Varuni Sastry, Zhen Xie, Siddhisanket Raskar, William Arnold, Rajeev Thakur, Venkatram Vishwanath, Michael E. Papka:
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators. CoRR abs/2310.04607 (2023)
Coauthor Index
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