User`s guide

Programming Overview

This chapter provides information you need for programming with Parallel Computing

Toolbox software. Further details of evaluating functions in a cluster, programming

independent jobs, and programming communicating jobs are covered in later chapters.

This chapter describes features common to programming all kinds of jobs. The sections

are as follows.

• “How Parallel Computing Products Run a Job” on page 6-2

• “Create Simple Independent Jobs” on page 6-10

• “Parallel Preferences” on page 6-12

• “Clusters and Cluster Profiles” on page 6-14

• “Apply Callbacks to MJS Jobs and Tasks” on page 6-25

• “Job Monitor” on page 6-29

• “Programming Tips” on page 6-32

• “Control Random Number Streams” on page 6-37

• “Profiling Parallel Code” on page 6-42

• “Benchmarking Performance” on page 6-51

• “Troubleshooting and Debugging” on page 6-52

• “Run mapreduce on a Parallel Pool” on page 6-57

• “Run mapreduce on a Hadoop Cluster” on page 6-61

• “Partition a Datastore in Parallel” on page 6-64