uoft-ecosystem Goto Github PK

algorithmic-efficiency

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

azure-quickstart-templates

Azure Quickstart Templates

bots

Barcelona OpenMP Task Suite is a collection of applications that allow to test OpenMP tasking implementations and compare its behaviour under certain circumstances: task tiedness, throttle and cut-offs mechanisms, single/multiple task generators, etc.

bppsa-open

The (open-source part of) code to reproduce "BPPSA: Scaling Back-propagation by Parallel Scan Algorithm".

brax

Massively parallel rigidbody physics simulation on accelerator hardware.

cache-trace

A collection of Twitter's anonymized production cache traces.

cscd70

CSCD70 Compiler Optimization

dietcode

DietCode Code Release

dlrm

An implementation of a deep learning recommendation model (DLRM)

eco_ldap

gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of a contemporary GPU running CUDA and/or OpenCL workloads and now includes an integrated (and validated) 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.

gpu-rodinia

Rodinia benchmark

gpu-virtualization-benchmarks

grape-micro56-artifact

This repository contains the source code for Grape.

habitat-cu116

halide

a language for fast, portable data-parallel computation

hfta

Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion

hotline

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

inference

Reference implementations of inference benchmarks

lingvo

Lingvo

minuet

[EuroSys'24] Minuet: Accelerating 3D Sparse Convolutions on GPUs

moil

MoIL: Enabling Efficient Incremental Training on Edge Devices

mxnet-gpu_memory_profiler

Benchmarking using MXNet GPU Memory Profiler

nnvm

move to https://github.com/dmlc/tvm/

pipedream

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rlscope

RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads