gunrock-gpu-graph.pdf (1.07 MB)
Gunrock: GPU Graph Analytics
poster
posted on 2018-04-22, 15:09 authored by Muhammad OsamaMuhammad Osama, Yangzihao Wang, Andy T. Riffel, Weitang Liu, Chenshan Yuan, Leyuan Wang, Carl Yang, Yuduo Wu, Andrew Davidson, Yuechao Pan, John D. OwensGunrock 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