Implementing Push-Pull Efficiently in GraphBLAS

10 April 2018

Papers citing "Implementing Push-Pull Efficiently in GraphBLAS"

6 / 6 papers shown

Title
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks Xiaoru Xie Hongwu Peng Amit Hasan Shaoyi Huang Jiahui Zhao Haowen Fang Wei Zhang Tong Geng O. Khan Caiwen Ding GNN 40 31 0 22 Aug 2023
Hypersparse Network Flow Analysis of Packets with GraphBLAS Tyler H. Trigg C. Meiners Sandeep Pisharody Hayden Jananthan Michael Jones ... Antonio Rosa S. Samsi Douglas Stetson Charles Yee J. Kepner 21 5 0 13 Sep 2022
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU Jou-An Chen Hsin-Hsuan Sung Xipeng Shen Nathan R. Tallent Kevin J. Barker Ang Li GNN 26 5 0 21 Jan 2022
Parallel Algorithms for Masked Sparse Matrix-Matrix Products Srđan Milaković Oguz Selvitopi Israt Nisa Zoran Budimlic A. Buluç 30 6 0 18 Nov 2021
Adaptive SpMV/SpMSpV on GPUs for Input Vectors of Varied Sparsity Min Li Yulong Ao Chao Yang 8 18 0 30 Jun 2020
GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU Carl Yang A. Buluç John Douglas Owens GNN 24 98 0 04 Aug 2019