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

（未完待续...）