High-level constructs—parallel for-loops, special array types, and parallelized numerical algorithms—enable you to parallelize MATLAB ® applications without CUDA or MPI programming. Simulink is a graphical environment for simulation and Model-Based Design of multidomain dynamic and embedded systems. 借助 MATLAB Parallel Server，您可以在集群、云和网格上运行计算密集型 MATLAB 程序和 Simulink 模型。使用 Parallel Computing Toolbox 进行开发，然后在服务器上运行以扩展到多台计算机。 Parallel Computing Toolbox では、マルチコア コンピューター、GPU、クラスター、グリッド、またはクラウドを利用して、計算量の多いデータ集約型の問題を解決することができます。このツールボックスには、パラレル for ループや分散配列などの、高度な機能が用意されています。 This CRAN task view contains a list of packages, grouped by topic, that are useful for high-performance computing (HPC) with R. In this context, we are defining 'high-performance computing' rather loosely as just about anything related to pushing R a little further: using compiled code, parallel computing (in both explicit and implicit modes), working with large objects as well as profiling. MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and clouds. The Multiprecision Computing Toolbox is the MATLAB extension for computing with arbitrary precision. Parallel Computing Toolbox™ lets you solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. Parallel Computing. The toolbox equips MATLAB with a new multiple precision floating-point numeric type and extensive set of mathematical functions that are capable of computing with arbitrary precision.
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