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    • GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.
      C++
      6011.5k14326Updated Feb 15, 2025Feb 15, 2025
    • Modified version of PyTorch able to work with changes to GPGPU-Sim
      C++
      295771Updated Nov 18, 2022Nov 18, 2022
    • A repository that compliments gpgpu-sim, providing automated regression scripts, simulation launching utilities and the code + arguments for simulations that complete in a reasonable amount of time on GPGPU-Sim.
      Cuda
      627502Updated Aug 22, 2020Aug 22, 2020
    • cutlass-gpgpu-sim

      Public
      C++
      122712Updated Oct 26, 2019Oct 26, 2019
    • python-rt

      Public
      Python interface to Request Tracker API
      Python
      45100Updated Oct 31, 2018Oct 31, 2018
    • setup_torque_on_ubuntu_14.04

      Public
      scratch project to evaluate porting UBC GPGPU-Sim fast regression environment to travis-ci
      Shell
      2200Updated Jul 6, 2016Jul 6, 2016
    • An example that will cause a build failure
      PHP
      3.1k200Updated Jul 1, 2016Jul 1, 2016
    • Benchmarks used in the gpgpu-sim ispass 2009 paper
      C
      263142Updated May 7, 2015May 7, 2015