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ORCIDAmir Hossein Nodehi Sabet
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2020 – today
- 2022
[c4]Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao
, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi:
Breaking the computation and communication abstraction barrier in distributed machine learning workloads. ASPLOS 2022: 402-416- 2021
- [b1]Amir Hossein Nodehi Sabet:
Efficient Processing of Large Irregular Graphs on GPUs and Multicores. University of California, Riverside, USA, 2021 - [c3]Junqiao Qiu, Xiaofan Sun, Amir Hossein Nodehi Sabet, Zhijia Zhao:
Scalable FSM parallelization via path fusion and higher-order speculation. ASPLOS 2021: 887-901 - [i1]Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi:
CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning. CoRR abs/2105.05720 (2021) - 2020
- [j1]Amir Hossein Nodehi Sabet, Junqiao Qiu, Zhijia Zhao, Sriram Krishnamoorthy:
Reliability Analysis for Unreliable FSM Computations. ACM Trans. Archit. Code Optim. 17(2): 12:1-12:23 (2020) - [c2]Amir Hossein Nodehi Sabet, Zhijia Zhao, Rajiv Gupta:
Subway: minimizing data transfer during out-of-GPU-memory graph processing. EuroSys 2020: 12:1-12:16
2010 – 2019
- 2018
- [c1]Amir Hossein Nodehi Sabet, Junqiao Qiu, Zhijia Zhao:
Tigr: Transforming Irregular Graphs for GPU-Friendly Graph Processing. ASPLOS 2018: 622-636
Coauthor Index
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