matlab 2017 environment Search Results


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Fig. 10. Performance evaluation of a Matrix Multiplication kernel using System_A ( Table 2 ) on <t>MATLAB</t> instances. (a) Non-slave Open Strategy. (b) Slave Open Strategy.
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Fig. 10. Performance evaluation of a Matrix Multiplication kernel using System_A ( Table 2 ) on <t>MATLAB</t> instances. (a) Non-slave Open Strategy. (b) Slave Open Strategy.
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Fig. 10. Performance evaluation of a Matrix Multiplication kernel using System_A ( Table 2 ) on <t>MATLAB</t> instances. (a) Non-slave Open Strategy. (b) Slave Open Strategy.
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Fig. 10. Performance evaluation of a Matrix Multiplication kernel using System_A ( Table 2 ) on <t>MATLAB</t> instances. (a) Non-slave Open Strategy. (b) Slave Open Strategy.
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Fig. 10. Performance evaluation of a Matrix Multiplication kernel using System_A ( Table 2 ) on <t>MATLAB</t> instances. (a) Non-slave Open Strategy. (b) Slave Open Strategy.
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Image Search Results


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

Brain-controlled interface studies in wheelchair movement and control applications.

Journal: Sensors (Basel, Switzerland)

Article Title: Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review

doi: 10.3390/s21186285

Figure Lengend Snippet: Brain-controlled interface studies in wheelchair movement and control applications.

Article Snippet: Ron-Angevin et al., 2017 [ ] , RH IDLE STATE , Move forward Move backward, Turn right Turn left , Acti-CHamp amplifier (Brain Products GmbH, Munich, Germany) , NO , 9: C3, F3, P3, T7, Cz, C4, F4, P4, T8. , 200 , Average signal power , LDA , INDOOR (Laboratory/University room) Average duration: Calibration session: 30 min Navigation session in a VE: 5–10 min Navigation session in a real environment with the BCW: 5–10 min. , 17 CTR , Medium accuracy: 83% , Customized Invacare Mistral3 electric wheelchair , -n° 11 ultrasonic rangefinders SRF08 -n° 2 magnetic rotary encoders AS5048 , Matlab.

Techniques: Control, Extraction, Software, Modification, Selection, Battery