Parallel intersection counting on shared-memory multiprocessors and GPUs

Computing intersections among sets of one-dimensional intervals is an ubiquitous problem in computational geometry with important applications in bioinformatics, where the size of typical inputs is large and it is therefore important to use efficient algorithms. In this paper we propose a parallel a...

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Veröffentlicht in:	Future generation computer systems Jg. 159; S. 423 - 431
Hauptverfasser:	Marzolla, Moreno, Birolo, Giovanni, D’Angelo, Gabriele, Fariselli, Piero
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2024
Schlagworte:	Bioinformatics GPU programming Intersection counting Parallel algorithms Shared-memory algorithm GPU programming Intersection counting Shared-memory algorithm Parallel algorithms Bioinformatics
ISSN:	0167-739X, 1872-7115
Online-Zugang:	Volltext
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