MATLAB Distributed Computing Server

Parallel Programming in MATLAB  

Introduction to PARFOR - Computing the Maximum Safe Velocity of a Bobsled on an Icy Curve    

Introduction to PARFOR Reduction Variables - Monte Carlo Method for Computing Pi    

Using parfor to Run Loops in Parallel   2:49

Convert serial applications to parallel using simple annotations such as parfor.

Shorten Simulation Times with Parallel Computing   6:19

Accelerate parameter sweep applications by running simulations in parallel.

Processing Mass Spectrometry Data (High-res Ovarian Cancer data) Using Parallel Computing  

Introduction to GPU Computing with MATLAB   2:35

Use GPUs to accelerate MATLAB applications.

Calculating the Mandelbrot Set on a GPU    

Exotic Option Pricing on a GPU using a Monte-Carlo Method    

Using FFT on the GPU for Spectral Analysis  

Using FFT2 on the GPU to Simulate Diffraction Patterns  

Running MATLAB^® Functions on the GPU  

Benchmarking A\b on the GPU  

Calculate Relative Area of US States  

Introduction to running multiple Simulink simulations in parallel   2:24  

Use parfor to speed up multiple simulation runs.

Accelerating Parameter Estimation with Parallel Computing   4:25

Use built-in parallel algorithms in Simulink Design Optimization to solve parameter estimation problems faster.

Frequency Response Estimation Using Parallel Computing  

Speed up Frequency Response Estimation using parallel computing.

Parallel Simulations Using Parfor: Test-Case Sweep  

This demonstration shows how you can run multiple Simulink^® simulations corresponding to different test cases in the Signal Builder block, in parallel by using the Parallel Computing Toolbox™.

Parallel Simulations Using Parfor: Parameter Sweep in Normal Mode  

This demonstration shows how you can run multiple Simulink^® simulations of a Monte Carlo study in parallel by using Parallel Computing Toolbox™

Parallel Simulations Using Parfor: Parameter Sweep in Rapid Accelerator Mode  

This demonstration shows how you can run multiple Simulink^® simulations of a Monte Carlo study in parallel by using Parallel Computing Toolbox™ with Rapid Accelerator.

Working Interactively with Distributed Arrays to Process Large Datasets: Data Parallel Applications   6:20

Handle problems with large memory requirements using spmd and distributed arrays.

Setting up an Interactively Developed Data Parallel Application for Batch Processing   6:51

Use batch processing commands to set up offline execution for parallel MATLAB applications.

Benchmarking Parfor Performance Using a Simple Example: Game of Blackjack  

Resource Contention in Task Parallel Problems  

Benchmarking Distributed Jobs (Task Parallel Applications on the Cluster)  

Benchmarking Parallel "\" Operator (A\b)  

Profiling Load Unbalanced Distributed Arrays in Data Parallel Applications  

Profiling Explicit Parallel Communication while using Message Passing Functions in MATLAB  

Parallel Radar Tracking Simulation  

Using Parallel Computing for Analysis of Origin of Human Immunodeficiency Virus  

Parallel Financial Portfolio Optimization  

Parallel Value-at-Risk (VAR) Simulation for NASDAQ Composite Index