작업 및 태스크 생성
|cluster 객체 만들기|
|워커에서 MATLAB 스크립트 또는 함수 실행|
|클러스터에서 독립 작업 만들기|
|Create communicating job on cluster|
|Create new job from existing job|
|Create new task in job|
|(Not recommended) Examine or set default cluster profile|
|Import cluster profiles from file|
|File for user-defined options to run on each worker when parallel pool starts|
|File for user-defined options to run when job starts|
|User-defined options to run on worker when task starts|
|User-defined options to run on worker when task finishes|
|Configure settings for Parallel Computing Toolbox client session|
|Location of MPI implementation|
|Configure options for MPI communication|
예제 및 방법
- Program a Job on a Local Cluster
Manually create and run jobs.
- 독립 작업 프로그래밍
독립 작업의 태스크는 서로 직접 통신하지 않으며 독립적입니다.
- Program Communicating Jobs
Discover the differences between independent and communicating jobs
- Share Code with the Workers
Find out how to pass data and code to and from the workers.
- Apply Callbacks to MATLAB Job Scheduler Jobs and Tasks
The MATLAB® Job Scheduler has the ability to trigger callbacks in the client session whenever jobs or tasks in the MATLAB Job Scheduler cluster change to specific states.
- How Parallel Computing Products Run a Job
Explore the life cycle of a job.
- Programming Tips
Provides helpful hints for good programming practice
- Job Monitor
Manage your jobs using the Job Monitor
- Control Random Number Streams on Workers
The random number generation functions
randnbehave differently for parallel calculations compared to your MATLAB client.