GPU-accelerated backtracking using CUDA Dynamic Parallelism-Reference-Cited by-同舟云学术

GPU-accelerated backtracking using CUDA Dynamic Parallelism

Published:2017-11-27 Issue:9 Volume:30 Page:e4374
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Carneiro Pessoa Tiago¹^ORCID,Gmys Jan²³,de Carvalho Júnior Francisco Heron¹,Melab Nouredine³,Tuyttens Daniel²

Affiliation:

1. ParGO Research Group (Parallelism, Graphs, and Optimization), Mestrado Doutorado em Ciência da Computação; Universidade Federal do Ceará; Fortaleza Brazil

2. Mathematics and Operational Research Department (MARO); University of Mons; Mons Belgium

3. INRIA Lille Nord Europe; Université Lille 1, CNRS/CRIStAL; Villeneuve-d'Ascq France

Funder

PDSE-CAPES

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.4374/fullpdf

Reference39 articles.

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5. Li D Wu H Becchi M Nested parallelism on GPU: exploring parallelization templates for irregular loops and recursive computations Beijing, China IEEE 2015 979 988

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