Parallel Computing Toolbox

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 lets you use the full processing power of multicore desktops by executing applications on workers (MATLAB computational engines) that run locally. Without changing the code, you can run the same applications on a computer cluster or a grid computing service (using MATLAB Distributed Computing Server™). You can run parallel applications interactively or in batch

References in zbMATH (referenced in 12 articles )

Showing results 1 to 12 of 12.
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  1. Stripinis, Linas; Žilinskas, Julius; Casado, Leocadio G.; Paulavičius, Remigijus: On \textttMATLABexperience in accelerating \textttDIRECT-GLce algorithm for constrained global optimization through dynamic data structures and parallelization (2021)
  2. Gander, Martin J.; Kwok, Felix; Salomon, Julien: PARAOPT: a parareal algorithm for optimality systems (2020)
  3. Francesco Giannini, Vincenzo Laveglia, Alessandro Rossi, Dario Zanca, Andrea Zugarini: Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow (2017) arXiv
  4. Higham, Desmond J; Higham, Nicholas J.: Matlab guide (2017)
  5. Mlýnek, Jaroslav; Srb, Radek; Knobloch, Roman: The use of graphics card and nVidia CUDA architecture in the optimization of the heat radiation intensity. (2015)
  6. Ploskas, Nikolaos; Samaras, Nikolaos: Efficient GPU-based implementations of simplex type algorithms (2015)
  7. Polimeridis, A. G.; Villena, J. F.; Daniel, L.; White, J. K.: Stable FFT-JVIE solvers for fast analysis of highly inhomogeneous dielectric objects (2014)
  8. Xu, Jing; Chang, Hui Bin; Qin, Jing: Domain decomposition method for image deblurring (2014)
  9. Přikryl, Jan: Graphics card as a cheap supercomputer. (2013)
  10. Sharma, Gaurav; Martin, Jos: MATLAB(^\circledR): A language for parallel computing (2009)
  11. Ditterich, Jochen: Stochastic models of decisions about motion direction: behavior and physiology (2006)
  12. Kepner, Jeremy; Ahalt, Stan: MatlabMPI (2004)