iquitap

modern-cpp-features

A cheatsheet of modern C++ language and library features.

or-tools

Google's Operations Research tools:

GraphScope

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

alpa

Training and serving large-scale neural networks with auto parallelization.

alphatensor

FlexFlow

FlexFlow Serve: Low-Latency, High-Performance LLM Serving

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

vega

AutoML tools chain

libxsmm

Library for specialized dense and sparse matrix operations, and deep learning primitives.

TASO

The Tensor Algebra SuperOptimizer for Deep Learning

jitify

A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).

compiler-and-arch

A list of tutorials, paper, talks, and open-source projects for emerging compiler and architecture

pna

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

msccl

Microsoft Collective Communication Library

awesome-gnn-systems

A list of awesome GNN systems.

EasyParallelLibrary

Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.

GraphNeuralNetworks.jl

Graph Neural Networks in Julia

NVIDIA_SGEMM_PRACTICE

Step-by-step optimization of CUDA SGEMM

pyg-lib

Low-Level Graph Neural Network Operators for PyG

SparTA

PaRMAT

Multi-threaded Large-Scale RMAT Graph Generator.

NeutronStarLite

A Distributed GNN system

ANT-Quantization

coconet

DietCode

DietCode Code Release

rtnn

BNS-GCN

[MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling" by Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin

gnnlab

A Factored System for Sample-based GNN Training over GPUs

GSWITCH

A pattern-based algorithmic autotuner for graph processing on GPUs.

fgnn-artifacts

FGNN's artifact evaluation (EuroSys 2022)