gpgpu-sim's repositories
gpgpu-sim_distribution
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.
gpgpu-sim_simulations
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.
pytorch-gpgpu-sim
Modified version of PyTorch able to work with changes to GPGPU-Sim
ispass2009-benchmarks
Benchmarks used in the gpgpu-sim ispass 2009 paper
setup_torque_on_ubuntu_14.04
scratch project to evaluate porting UBC GPGPU-Sim fast regression environment to travis-ci
travis-broken-example
An example that will cause a build failure