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Parallel identification of strongly connected components on GPU

License: MIT License

C 7.55% Makefile 1.23% C++ 10.41% Cuda 80.59% Shell 0.21%
graph-algorithms connected-components parallel-programming gpu-computing

gpuscc_code's Introduction

usage: ./scc [-t] [-a t/d/l/h] -f graph
	-t tarjan's algorithm, optional.
	-a q for topology-driven, d for data-driven, l for load-balance, h for hybrid. topology-driven in default if not specific.
	-f input directed graph

apps: scc scc_w scc_2_w
scc:	parallel FB implementation on CUDA
scc_w:	scc with finding wcc once
scc_2_w	scc_w with trim_2 once

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