 |
I am Amir Hossein Nodehi Sabet, a Ph.D. Candidate in Computer Science and Engineering Department at the University of California, Riverside under the supervision of Prof. Zhijia Zhao. The main focus of my research is Parallel Algorithms and high performance software design for GPUs. I have a MSc in Computer Science from Sharif University of Technology where I worked with Prof. Amir Daneshgar. My master's thesis was on graph clustering algorithms. More details are in my C.V.. I will be joining Microsoft Research as a Research Intern for the Summer 2020. |
Papers
Scalable FSM Parallelization via Path Fusion and Higher-Order Speculation.
Junqiao Qiu, Xiaofan Sun, Amir Hossein Nodehi Sabet, Zhijia Zhao
ASPLOS 2021Subway: Minimizing Data Transfer during Out-of-GPU-Memory Graph Processing. [Code]
Amir Hossein Nodehi Sabet, Zhijia Zhao, and Rajiv Gupta
EuroSys 2020Reliability Analysis for Unreliable FSM Computations.
Amir Hossein Nodehi Sabet, Junqiao Qiu, Zhijia Zhao, and Sriram Krishnamoorthy
TACO'20 ACM Transactions on Architecture and Code Optimization, 2020Tigr: Transforming Irregular Graphs for GPU-Friendly Graph Processing. [Code]
Amir Hossein Nodehi Sabet, Junqiao Qiu, Zhijia Zhao
ASPLOS 2018.
Teaching
CS180 INTRO TO SOFTWARE ENGINEERING (Fall 2017).
CS179 PROJECT IN COMPUTER SCIENCE (Winter 2018).
University of California, Riverside Office: Room 226, WCH Email me at anode001 at ucr dot edu