%0 Conference Paper %A Osama, Muhammad %A Wang, Yangzihao %A Riffel, Andy T. %A Liu, Weitang %A Yuan, Chenshan %A Wang, Leyuan %A Yang, Carl %A Wu, Yuduo %A Davidson, Andrew %A Pan, Yuechao %A Owens, John D. %D 2018 %T Gunrock: GPU Graph Analytics %U https://figshare.com/articles/poster/Gunrock_GPU_Graph_Analytics/6169310 %R 10.6084/m9.figshare.6169310.v1 %2 https://ndownloader.figshare.com/files/11159390 %K NSF-SI2-2018 %K Gunrock %K gpu-powered %K graph analytics %K Big Data analytics %K C++ %K Computer Engineering %X
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 a vertex or edge frontier. Gunrock achieves a balance between performance and expressiveness by coupling high performance GPU computing primitives and optimization strategies with a high-level programming model that allows programmers to quickly develop new graph primitives with small code size and minimal GPU programming knowledge. For more information, please visit: https://github.com/gunrock/gunrock %I figshare