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Detail publikace
ČEŠKA, M. ALDEGHERI, S. BARNAT, J. BOMBIERI, N. BUSATO, F.
Originální název
Parametric Multi-Step Scheme for GPU-Accelerated Graph Decomposition into Strongly Connected Components
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The problem of decomposing a directed graph into strongly connected components (SCCs) is a fundamental graph problem that is inherently present in many scientific and commercial applications. Clearly, there is a strong need for good high-performance, e.g., GPU-accelerated, algorithms to solve it. Unfortunately, among existing GPU-enabled algorithms to solve the problem, there is none that can be considered the best on every graph, disregarding the graph characteristics. Indeed, the choice of the right and most appropriate algorithm to be used is often left to inexperienced users. In this paper, we introduce a novel parametric multi-step scheme to evaluate existing GPU-accelerated algorithms for SCC decomposition in order to alleviate the burden of the choice and to help the user to identify which combination of existing techniques for SCC decomposition would fit an expected use case the most. We support our scheme with an extensive experimental evaluation that dissects correlations between the internal structure of GPU-based algorithms and their performance on various classes of graphs. The measurements confirm that there is no algorithm that would beat all other algorithms in the decomposition on all of the classes of graphs. Our contribution thus represents an important step towards an ultimate solution of automatically adjusted scheme for the GPU-accelerated SCC decomposition.
Klíčová slova
strongly connected components GPU-accelerated algorithms parametric multi-step algorithms performance evaluation
Autoři
ČEŠKA, M.; ALDEGHERI, S.; BARNAT, J.; BOMBIERI, N.; BUSATO, F.
Vydáno
27. 10. 2016
Nakladatel
Springer Verlag
Místo
Cham
ISBN
978-3-319-58942-8
Kniha
Proceedings of 2nd Workshop on Performance Engineering for Large Scale Graph Analytics
Edice
Lecture Notes in Computer Science
Strany od
519
Strany do
531
Strany počet
12
BibTex
@inproceedings{BUT144402, author="Milan {Češka} and Stefano {Aldegheri} and Jiří {Barnat} and Nicola {Bombieri} and Federico {Busato}", title="Parametric Multi-Step Scheme for GPU-Accelerated Graph Decomposition into Strongly Connected Components", booktitle="Proceedings of 2nd Workshop on Performance Engineering for Large Scale Graph Analytics", year="2016", series="Lecture Notes in Computer Science", volume="10104", pages="519--531", publisher="Springer Verlag", address="Cham", doi="10.1007/978-3-319-58943-5\{_}42", isbn="978-3-319-58942-8" }