Memory aware load balance strategy on a parallel branch-and-bound application-Reference-Cited by-同舟云学术

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Memory aware load balance strategy on a parallel branch-and-bound application

Published:2014-04-16 Issue:5 Volume:27 Page:1122-1144
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Silva Juliana M.N.¹,Boeres Cristina¹,Drummond Lúcia M.A.¹,Pessoa Artur A.¹

Affiliation:

1. Universidade Federal Fluminense; Rua Passo da Pátria 156, Bloco E. São Domingos Niterói Rio de Janeiro Brazil

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.3276/fullpdf

Reference60 articles.

1. IFMT ’08;Savage,2008

2. EXADAPT ’11;Tang,2011

3. Alam SR Barrett RF Kuehn JA Roth PC Vetter JS Characterization of scientific workloads on systems with multi-core processors IEEE International Symposium on Workload Characterization 2006 225 236

4. Song F YarKhan A Dongarra J Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems International Conference for High Performance Computing, Networking Storage and Analysis, 2009 19:1 19:11

5. HiPEAC ’11;Mars,2011

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2. Parallel computational optimization in operations research: A new integrative framework, literature review and research directions;European Journal of Operational Research;2020-11

3. Accelerating simulations of cardiac electrical dynamics through a multi‐GPU platform and an optimized data structure;Concurrency and Computation: Practice and Experience;2019-10-23

4. GPU‐based branch‐and‐bound method to solve large 0‐1 knapsack problems with data‐centric strategies;Concurrency and Computation: Practice and Experience;2018-09-27

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