ACM Transactions on Parallel Computing (TOPC) - Special Issue: Invited papers from PPoPP 2016, Part 1: Volume 4 Issue 1, October 2017
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For large-scale graph analytics on the GPU, the irregularity of data access and control flow, and the complexity of programming GPUs, have presented two significant challenges to developing a programmable high-performance graph library. “Gunrock,” our graph-processing system designed specifically for the GPU, uses a high-level, bulk-synchronous, data-centric abstraction focused on ...
runtime framework, GPU, Graph processing