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
Cosimulate and verify VHDL and Verilog using HDL simulators!
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The MathWorks
Design and analyze algorithms for the physical layer of communication systems!
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The MathWorks
Read, analyze, and visualize genomic, proteomic, and microarray data!
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The MathWorks
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The MathWorks
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The MathWorks
Build, optimize, and verify code using embedded software development environments!
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The MathWorks
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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
The Language Of Technical Computing
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The MathWorks
Qualify Simulink and Polyspace verification tools to DO-178
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The MathWorks
Model, simulate, and analyze biological systems
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The MathWorks
Model and analyze financial and economic systems using statistical methods!
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The MathWorks
Exchange data with relational databases!
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The MathWorks
Model and simulate aircraft, spacecraft, and propulsion systems!
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The MathWorks
Simulation and Model-Based Design
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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
Design and analyze control systems!
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The MathWorks
Perform real-time rapid control prototyping and hardware-in-the-loop simulation
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