Parallel Computing Toolbox 5.0
Parallel Computing Toolbox™ lets you solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs—parallel for-loops, special array types, and parallelized numerical algorithms—let you parallelize MATLAB® applications without CUDA or MPI programming. You can use the toolbox with Simulink® to run multiple simulations of a model in parallel.
The toolbox provides eight workers (MATLAB computational engines) to execute applications locally on a multicore desktop. Without changing the code, you can run the same application on a computer cluster or a grid computing service (using MATLAB Distributed Computing Server™). You can run parallel applications interactively or in batch.
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The MathWorks
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The MathWorks
Generate documentation for MATLAB applications and data
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The MathWorks
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The MathWorks
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The MathWorks
Fit curves and surfaces to data using regression, interpolation, and smoothing!!
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The MathWorks
Aerospace reference standards, environmental models, and aerodynamic coefficient importing!
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The MathWorks
Model, simulate, and analyze biological systems
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The MathWorks
Perform parallel computations on multicore computers, GPUs, and computer clusters!
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The MathWorks
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The MathWorks
Simulation and Model-Based Design
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The MathWorks
Design and simulate the physical layer of communication systems!!
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The MathWorks
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The MathWorks
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Build, optimize, and verify code using embedded software development environments!
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The MathWorks
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The MathWorks
Design and analyze algorithms for the physical layer of communication systems!
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The MathWorks
Acquire financial data from data service providers
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The MathWorks
Cosimulate and verify VHDL and Verilog using HDL simulators!
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The MathWorks
Estimate and optimize Simulink model parameters
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The MathWorks
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