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matlab parallel tool  (MathWorks Inc)


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    MathWorks Inc matlab parallel tool
    Matlab Parallel Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab parallel tool/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab parallel tool - by Bioz Stars, 2026-05
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    Fig. 10. Performance evaluation of a Matrix Multiplication kernel using System_A ( Table 2 ) on MATLAB instances. (a) Non-slave Open Strategy. (b) Slave Open Strategy.

    Journal: Computer Languages, Systems & Structures

    Article Title: Dragonfly: A multi-platform parallel toolbox for MATLAB/Octave

    doi: 10.1016/j.cl.2017.10.002

    Figure Lengend Snippet: Fig. 10. Performance evaluation of a Matrix Multiplication kernel using System_A ( Table 2 ) on MATLAB instances. (a) Non-slave Open Strategy. (b) Slave Open Strategy.

    Article Snippet: Contents lists available at ScienceDirect Computer Languages, Systems & Structures journal homepage: www.elsevier.com/locate/cl Dragonfly: A multi-platform parallel toolbox for MATLAB/Octave Ivano Azzini b , Ronal Muresano a , Marco Ratto a , ∗ a European Commission, Joint Research Centre, Italy b GFT Italia s.r.l, Milano, Italy a r t i c l e i n f o Article history: Received 11 May 2017 Revised 25 October 2017 Accepted 28 October 2017 Available online 8 November 2017 Keywords: Parallel tool Efficiency High-performance computing (HPC) Performance metrics MATLAB and Octave executions Multi-platform a b s t r a c t In this paper, we present Dragonfly, a free open-source software toolkit that allows creating a parallel collaboration environment between MATLAB and/or Octave instances, allowing us to have a robust system, which is flexible, transparent and interoperable.

    Techniques:

    Fig. 11. Performance evaluation of Number of PrimeLess than n kernel using the System_A ( Table 2 ) on MATLAB instances.

    Journal: Computer Languages, Systems & Structures

    Article Title: Dragonfly: A multi-platform parallel toolbox for MATLAB/Octave

    doi: 10.1016/j.cl.2017.10.002

    Figure Lengend Snippet: Fig. 11. Performance evaluation of Number of PrimeLess than n kernel using the System_A ( Table 2 ) on MATLAB instances.

    Article Snippet: Contents lists available at ScienceDirect Computer Languages, Systems & Structures journal homepage: www.elsevier.com/locate/cl Dragonfly: A multi-platform parallel toolbox for MATLAB/Octave Ivano Azzini b , Ronal Muresano a , Marco Ratto a , ∗ a European Commission, Joint Research Centre, Italy b GFT Italia s.r.l, Milano, Italy a r t i c l e i n f o Article history: Received 11 May 2017 Revised 25 October 2017 Accepted 28 October 2017 Available online 8 November 2017 Keywords: Parallel tool Efficiency High-performance computing (HPC) Performance metrics MATLAB and Octave executions Multi-platform a b s t r a c t In this paper, we present Dragonfly, a free open-source software toolkit that allows creating a parallel collaboration environment between MATLAB and/or Octave instances, allowing us to have a robust system, which is flexible, transparent and interoperable.

    Techniques:

    Fig. 12. Dragonfly performance using the System_B ( Table 2 ) with MATLAB instances. (a) Matrix multiplication Kernel. (b) Molecular dynamics tool. (c) Slice sampling algorithm.

    Journal: Computer Languages, Systems & Structures

    Article Title: Dragonfly: A multi-platform parallel toolbox for MATLAB/Octave

    doi: 10.1016/j.cl.2017.10.002

    Figure Lengend Snippet: Fig. 12. Dragonfly performance using the System_B ( Table 2 ) with MATLAB instances. (a) Matrix multiplication Kernel. (b) Molecular dynamics tool. (c) Slice sampling algorithm.

    Article Snippet: Contents lists available at ScienceDirect Computer Languages, Systems & Structures journal homepage: www.elsevier.com/locate/cl Dragonfly: A multi-platform parallel toolbox for MATLAB/Octave Ivano Azzini b , Ronal Muresano a , Marco Ratto a , ∗ a European Commission, Joint Research Centre, Italy b GFT Italia s.r.l, Milano, Italy a r t i c l e i n f o Article history: Received 11 May 2017 Revised 25 October 2017 Accepted 28 October 2017 Available online 8 November 2017 Keywords: Parallel tool Efficiency High-performance computing (HPC) Performance metrics MATLAB and Octave executions Multi-platform a b s t r a c t In this paper, we present Dragonfly, a free open-source software toolkit that allows creating a parallel collaboration environment between MATLAB and/or Octave instances, allowing us to have a robust system, which is flexible, transparent and interoperable.

    Techniques: Sampling

    Fig. 13. Mapping of parallel tasks using Dragonfly under System_B ( Table 2 ) with 32 processes using MATLAB instances. (a) Molecular dynamics tool. (b) Slice sampling algorithm.

    Journal: Computer Languages, Systems & Structures

    Article Title: Dragonfly: A multi-platform parallel toolbox for MATLAB/Octave

    doi: 10.1016/j.cl.2017.10.002

    Figure Lengend Snippet: Fig. 13. Mapping of parallel tasks using Dragonfly under System_B ( Table 2 ) with 32 processes using MATLAB instances. (a) Molecular dynamics tool. (b) Slice sampling algorithm.

    Article Snippet: Contents lists available at ScienceDirect Computer Languages, Systems & Structures journal homepage: www.elsevier.com/locate/cl Dragonfly: A multi-platform parallel toolbox for MATLAB/Octave Ivano Azzini b , Ronal Muresano a , Marco Ratto a , ∗ a European Commission, Joint Research Centre, Italy b GFT Italia s.r.l, Milano, Italy a r t i c l e i n f o Article history: Received 11 May 2017 Revised 25 October 2017 Accepted 28 October 2017 Available online 8 November 2017 Keywords: Parallel tool Efficiency High-performance computing (HPC) Performance metrics MATLAB and Octave executions Multi-platform a b s t r a c t In this paper, we present Dragonfly, a free open-source software toolkit that allows creating a parallel collaboration environment between MATLAB and/or Octave instances, allowing us to have a robust system, which is flexible, transparent and interoperable.

    Techniques: Sampling