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Ganesh Gopalakrishnan

Professor · Computer Science

University of Utah · United States
Formal MethodsHigh-Performance ComputingFloating-Point ArithmeticGPU ComputingSoftware CorrectnessMachine Learning

简介

Ganesh Gopalakrishnan is a Professor of Computer Science at the University of Utah. His research focuses on formal methods, rigorous testing, and correctness in high-performance and scientific computing, including floating-point error analysis and GPU program verification.

教育经历

  • Ph.D. State University of New York, Stony Brook, 1986

代表成果

  • HiRace: Accurate and Fast Source-Level Race Checking of GPU Programs
  • Rigorous Error Analysis for Logarithmic Number Systems
  • FPBOXer: Efficient Input-Generation for Targeting Floating-Point Exceptions in GPU Programs
  • FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators
  • Report of the DOE/NSF Workshop on Correctness in Scientific Computing
  • What Operations can be Performed Directly on Compressed Arrays, and with What Error?
  • Design and Evaluation of GPU-FPX: A Low-Overhead tool for Floating-Point Exception Detection in NVIDIA GPUs
  • Finding Inputs that Trigger Floating-Point Exceptions in GPUs via Bayesian Optimization
  • BinFPE: Accurate Floating-Point Exception Detection for GPU Applications
  • FPChecker: Floating-Point Exception Detection Tool and Benchmark for Parallel and Distributed HPC

数据校验于 9/6/2026数据来源

学生评价

还没有评价。成为第一位分享经验的学生吧。