MatLab的多线程（并行运算）

Parallel Computing Toolbox

Perform parallel computations on multicore computers, GPUs, and computer clusters

• Getting Started
• Examples
• Troubleshooting
• Release Notes

• Parallel for-Loops (parfor)
  Run loop iterations in parallel on a parallel pool using the parfor language construct
  

• Batch Processing
  Offload execution of a function or script to run in a cluster or desktop background
  

• GPU Computing
  Transfer data between MATLAB^® and a graphics processing unit (GPU); run code on a GPU
  

• Distributed Arrays and SPMD
  Partition arrays across multiple MATLAB workers for data-parallel computing and simultaneous execution
  

• Parallel MapReduce for Big Data
  Accelerate mapreduce programs by running on a parallel pool or Hadoop^® cluster
  

• Cluster Profiles and Computation Scaling
  Identify cluster resources and specify usage parameters
  

• Detailed Job and Task Control
  Program jobs and tasks with more detailed control

• Performance
  

  Improve performance of parallel code

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