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725 Stars 162 Forks Apache License 2.0 2.9K Commits 157 Opened issues


High-Performance Graph Primitives on GPUs

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Apache 2 Issues Open
NVIDIA Accelerated Libraries RAPIDS

Gunrock: GPU Graph Analytics

Gunrock is a CUDA library for graph-processing designed specifically for the GPU. It uses a high-level, bulk-synchronous, data-centric abstraction focused on operations on vertex or edge frontiers. Gunrock achieves a balance between performance and expressiveness by coupling high-performance GPU computing primitives and optimization strategies, particularly in the area of fine-grained load balancing, with a high-level programming model that allows programmers to quickly develop new graph primitives that scale from one to many GPUs on a node with small code size and minimal GPU programming knowledge. For more details, see Gunrock's Overview.

| Service | System | Environment | Status | |--------------------------------|--------------------|----------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Jenkins | Ubuntu 18.04 LTS | CUDA 11.0, NVIDIA Driver 450.66, GCC/G++ 7.5.0 | Build Status |

Quick Start Guide

Before building Gunrock make sure you have CUDA Toolkit 10.2 or higher installed on your Linux system. We also support building Gunrock on docker images using the provided docker files under

subdirectory. For complete build guide, see Building Gunrock.
git clone --recursive
cd gunrock
mkdir build && cd build
cmake .. && make -j$(nproc)
make test

Getting Started with Gunrock

Copyright and License

Gunrock is copyright The Regents of the University of California, 2013–2019. The library, examples, and all source code are released under Apache 2.0.

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