parallel.validateProfile
Syntax
Description
parallel.validateProfile
validates the default parallel environment
or cluster profile.
The parallel.validateProfile
function prints the validation stages performed and
an indication of whether each stage passed, failed, or was skipped.
If a validation stage fails, the function saves a validation report to the temporary folder.
parallel.validateProfile(
validates
the parallel environment profile specified by profile
)profile
.
parallel.validateProfile(___,
specifies additional profile validation options using one or more name-value
arguments.Name=Value
)
Examples
Validate the default profile. The parallel.validateProfile
function prints the validation stages performed and an indication of whether each stage passed, failed, or was skipped.
parallel.validateProfile
Beginning validation for cluster profile 'Processes' Cluster connection test (parcluster) Stage started at 13:30:11. Finished at 13:30:11. ..........................................................................PASSED Job test (createJob) Stage started at 13:30:11. Finished at 13:30:59. ..........................................................................PASSED SPMD job test (createCommunicatingJob) Stage started at 13:31:04. Job ran with 6 workers. Finished at 13:32:26. ..........................................................................PASSED Pool job test (createCommunicatingJob) Stage started at 13:32:33. Job ran with 6 workers. Finished at 13:33:55. ..........................................................................PASSED Parallel pool test (parpool) Stage started at 13:34:04. 20-Nov-2024 13:35:08: Job Queued. Waiting for parallel pool job with ID 43 to start ... Connected to parallel pool with 6 workers. Parallel pool using the 'Processes' profile is shutting down. Parallel pool ran with 6 workers. Finished at 13:35:44. ..........................................................................PASSED Finished cluster profile validation with status: PASSED
Validate the Threads
profile. The parallel.validateProfile
function only runs the Parallel pool test (parpool)
validation stage for thread type profiles.
parallel.validateProfile("Threads")
Beginning validation for cluster profile 'Threads' Parallel pool test (parpool) Stage started at 13:43:30. Starting parallel pool (parpool) using the 'Threads' profile ... Connected to parallel pool with 6 workers. Parallel pool using the 'Threads' profile is shutting down. Parallel pool ran with 6 workers. Finished at 13:43:30. ..........................................................................PASSED Finished cluster profile validation with status: PASSED
Validate the profile for a remote MATLAB® Job Scheduler cluster, myCluster
, using 5 workers. Run only the "parcluster",
"pool-job"
, and "parpool"
stages. Save the validation results to a report file with the name "validation.txt"
. The parallel.validateProfile
function prints the validation stages performed and an indication of whether each stage passed or failed.
parallel.validateProfile("myCluster",NumWorkersToUse=5,StagesToRun=["parcluster","pool-job","parpool"],ReportFile="validation.txt");
Beginning validation for cluster profile 'myCluster' Cluster connection test (parcluster) Stage started at 14:00:46. Finished at 14:00:47. ..........................................................................PASSED Pool job test (createCommunicatingJob) Stage started at 14:00:47. Job ran with 5 workers. Finished at 14:01:40. ..........................................................................PASSED Parallel pool test (parpool) Stage started at 14:01:55. Connected to parallel pool with 5 workers. Parallel pool using the 'myCluster' profile is shutting down. Parallel pool ran with 5 workers. Finished at 14:03:03. ..........................................................................PASSED Finished cluster profile validation with status: PASSED Validation report written to validation.txt
Validate a newly created profile for a third-party remote cluster.
To ensure that you have successfully integrated MATLAB®
Parallel Server™ into your Spark™ cluster and that your profile is correctly configured, validate the Spark
profile named "SparkProfile1"
. The validation fails because of an
incorrectly configured profile and parallel.validateProfile
automatically saves
a report to the temporary folder.
parallel.validateProfile("SparkProfile1")
Beginning validation for cluster profile 'SparkProfile1' Cluster connection test (parcluster) Stage started at 14:10:26. Unable to find Spark. Set the SPARK_HOME environment variable to a valid Spark installation folder or use the 'SparkInstallFolder' name-value parameter. ..........................................................................FAILED Spark job test (tall) Validation skipped due to previous failure. .........................................................................SKIPPED Tall evaluation test (tall gather) Validation skipped due to previous failure. .........................................................................SKIPPED Finished cluster profile validation with status: FAILED See validation report for full details: C:\Users\user\AppData\Local\Temp\validation_report_SparkProfile1.txt
You can validate a profile noninteractively at the command line using
the -batch
MATLAB startup option. To learn more about MATLAB startup options, see Commonly Used Startup Options.
In a command-line prompt, validate the profile for a remote cluster,
mySlurmCluster
, using 4 workers. Skip the
"parpool"
stage. Save the validation results to a report file with
the name 'validation.txt'
. The
parallel.validateProfile
function prints the validation stages
performed and an indication of whether each stage passed or failed.
matlab -batch "parallel.validateProfile('mySlurmCluster',NumWorkersToUse=4,StagesToSkip='parpool',ReportFile='validation.txt')"
Beginning validation for cluster profile 'mySlurmCluster'
Cluster connection test (parcluster)
Stage started at 14:53:30.
Finished at 14:53:31.
..........................................................................PASSED
Job test (createJob)
Stage started at 14:53:31.
Finished at 14:53:54.
..........................................................................PASSED
SPMD job test (createCommunicatingJob)
Stage started at 14:54:04.
Job ran with 4 workers.
Finished at 14:54:44.
..........................................................................PASSED
Pool job test (createCommunicatingJob)
Stage started at 14:54:59.
Job ran with 4 workers.
Finished at 14:55:45.
..........................................................................PASSED
Finished cluster profile validation with status: PASSED
Validation report written to 'validation.txt'
Input Arguments
Parallel environment or cluster profile, specified as a character vector or string.
If you do not specify a profile, parallel.validateProfile
validates the default
profile.
Example: "Processes"
Example: "Threads"
Example: "myMJSCluster"
Data Types: char
| string
Name-Value Arguments
Specify optional pairs of arguments as
Name1=Value1,...,NameN=ValueN
, where Name
is
the argument name and Value
is the corresponding value.
Name-value arguments must appear after other arguments, but the order of the
pairs does not matter.
Example: NumWorkersToUse=4
Number of workers to use in validation, specified as a nonnegative integer. Use
this argument to validate the profile with fewer workers than those specified in the
profile's PreferredPoolNumWorkers
or
NumWorkers
property.
Example: NumWorkersToUse=4
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
Validation stages to run, specified as a string array or cell array of character vectors with one or more of these stage values:
"parcluster"
—Cluster connection test (parcluster)
stage."job"
—Job test (createJob)
stage."spmd-job"
—SPMD job test (createCommunicatingJob)
stage."pool-job"
—Pool job test (createCommunicatingJob)
stage."parpool"
—Parallel pool test (parpool)
stage."spark"
—Spark job test (tall)
stage."tall"
—Tall evaluation test (tall gather)
stage.
Some stages are only available for certain parallel environment or
cluster types. You cannot specify this argument if you specify the StagesToSkip
argument. To learn more about each stage, see List of Validation Stages.
Example: StagesToRun=["parcluster","parpool"]
Data Types: char
| string
| cell
Validation stages to skip, specified as a string array or cell array of character vectors with one or more of these stage values:
"parcluster"
—Cluster connection test (parcluster)
stage."job"
—Job test (createJob)
stage."spmd-job"
—SPMD job test (createCommunicatingJob)
stage."pool-job"
—Pool job test (createCommunicatingJob)
stage."parpool"
—Parallel pool test (parpool)
stage."spark"
—Spark job test (tall)
stage."tall"
—Tall evaluation test (tall gather)
stage.
Some stages are only available for certain parallel environment or
cluster types. You cannot specify this argument if you specify the StagesToRun
argument. To learn more about each stage, see List of Validation Stages.
Example: StagesToSkip=["parcluster","spmd-job"]
Data Types: char
| string
| cell
Filename to save validation report, specified as a character vector or string.
If you do not set the ReportFile
argument and validation is
successful, parallel.validateProfile
does not create a report. If you do not
set the ReportFile
argument and validation fails,
parallel.validateProfile
automatically creates a validation report and saves
it in the temporary folder.
Example: ReportFile="validation.txt"
Data Types: char
| string
Limitations
When you validate a profile for the Threads parallel environment,
parallel.validateProfile
runs only theParallel pool test (parpool)
stage.
Algorithms
The parallel.validateProfile
function performs these validation stages.
Validation Stage | Description |
---|---|
| Tests cluster connections using the |
| Tests independent job creation using the |
| Tests creation of a batch job with an SPMD enabled parallel pool using
the |
| Tests creation of a batch job with a parallel pool using the
|
| Tests creation of an interactive parallel pool using the
|
| Tests creation of a job on a Spark cluster. |
| Tests evaluation of a tall array on a Spark cluster using the |
Version History
Introduced in R2025a
See Also
Functions
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