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@gpgpu-sim

gpgpu-sim

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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

cutlass-gpgpu-sim

setup_torque_on_ubuntu_14.04

scratch project to evaluate porting UBC GPGPU-Sim fast regression environment to travis-ci