Amir Hossein Nodehi Sabet

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 on Graph Clustering algorithms. More details are in my C.V.. I interned at Microsoft Research during the Summer of 2020. I will be joining Facebook as a Research Scientist in the Summer 2021.

Papers

• Scalable FSM Parallelization via Path Fusion and Higher-Order Speculation.
  Junqiao Qiu, Xiaofan Sun, Amir Hossein Nodehi Sabet, Zhijia Zhao
  ASPLOS 2021
  

• Subway: Minimizing Data Transfer during Out-of-GPU-Memory Graph Processing. [Code]
  Amir Hossein Nodehi Sabet, Zhijia Zhao, and Rajiv Gupta
  EuroSys 2020
  

• Reliability 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, 2020
  

• Tigr: Transforming Irregular Graphs for GPU-Friendly Graph Processing. [Code]
  Amir Hossein Nodehi Sabet, Junqiao Qiu, Zhijia Zhao
  ASPLOS 2018.
  

Teaching

• CS 150 The Theory of Automata and Formal Languages, UCR, Spring 2021

• CS 010 Introduction to Computer Science for Science, Mathematics, and Engineering II, UCR, Winter 2021

• CS179 PROJECT IN COMPUTER SCIENCE, UCR, Winter 2018

• CS180 INTRO TO SOFTWARE ENGINEERING, UCR, Fall 2017

University of California, Riverside
Office: Room 226, WCH
Email me at anode001 at ucr dot edu