high-performance matlab software package Search Results


simbiology  (MathWorks Inc)
97
MathWorks Inc simbiology
Simbiology, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab r2022a hdl coder  (MathWorks Inc)
96
MathWorks Inc matlab r2022a hdl coder
Comparison of the Simulink OR Mask ( left ) with the full-precision <t>MATLAB</t> reference ( right ).
Matlab R2022a Hdl Coder, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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hdl verifier  (MathWorks Inc)
92
MathWorks Inc hdl verifier
Comparison of the Simulink OR Mask ( left ) with the full-precision <t>MATLAB</t> reference ( right ).
Hdl Verifier, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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parallel tool efficiency high performance computing hpc performance metrics matlab  (MathWorks Inc)
95
MathWorks Inc parallel tool efficiency high performance computing hpc performance metrics matlab
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.
Parallel Tool Efficiency High Performance Computing Hpc Performance Metrics Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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2410 high-voltage sourcemeter  (Tektronix inc)
90
Tektronix inc 2410 high-voltage sourcemeter
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.
2410 High Voltage Sourcemeter, supplied by Tektronix inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Comparison of the Simulink OR Mask ( left ) with the full-precision MATLAB reference ( right ).

Journal: Sensors (Basel, Switzerland)

Article Title: Resource-Efficient FPGA Architecture for Real-Time RFI Mitigation in Interferometric Radiometers

doi: 10.3390/s24248001

Figure Lengend Snippet: Comparison of the Simulink OR Mask ( left ) with the full-precision MATLAB reference ( right ).

Article Snippet: The simulation was performed either by MATLAB R2022a HDL Coder or MATLAB R2022a Simulink (MathWorks), and the results were compared numerically to the outputs of the original MATLAB algorithm, which uses floating-point double-precision data types.

Techniques: Comparison

Comparison of the Simulink AND Mask ( left ) with the full-precision MATLAB reference ( right ).

Journal: Sensors (Basel, Switzerland)

Article Title: Resource-Efficient FPGA Architecture for Real-Time RFI Mitigation in Interferometric Radiometers

doi: 10.3390/s24248001

Figure Lengend Snippet: Comparison of the Simulink AND Mask ( left ) with the full-precision MATLAB reference ( right ).

Article Snippet: The simulation was performed either by MATLAB R2022a HDL Coder or MATLAB R2022a Simulink (MathWorks), and the results were compared numerically to the outputs of the original MATLAB algorithm, which uses floating-point double-precision data types.

Techniques: Comparison

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