Back to advisors
GG

Ganesh Gopalakrishnan

Professor · Computer Science

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

About

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.

Education

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

Selected publications

  • 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

Data verified 9/6/2026Source

Student reviews

No reviews yet. Be the first to share your experience.