execute a task without waiting for it to complete, in a non-blocking
way, so that you can carry on with other tasks, using
The name of the parameter in the
that defines the location of the checkpoint directories for the MATLAB® job
scheduler and workers.
The MATLAB session that defines and submits the job. This is the MATLAB session in which the programmer usually develops and prototypes applications. Also known as the MATLAB client.
The computer running the MATLAB client; often your desktop.
A collection of computers that are connected via a network and intended for a common purpose.
An application for which run time is significantly greater than the communication time needed to start and stop the program. Coarse-grained distributed applications are also called embarrassingly parallel applications.
An array partitioned into segments, with each segment residing in the workspace of a different worker. When created, viewed, accessed, or manipulated from one of the worker sessions that contains part of the array, it is referred to as a codistributed array. Compare to distributed array.
Job composed of tasks that communicate with each other during
evaluation. All tasks must run simultaneously. A special case of communicating
job is a parallel pool, used for executing
An object in a MATLAB client session that provides access
to data values stored on the workers in a parallel pool, such as the
values of variables that are assigned inside an
A system with one or more processors.
Central Processing Unit, comprising multiple cores / processors
The same application that runs independently on several nodes, possibly with different input parameters. There is no communication, shared data, or synchronization points between the nodes, so they are generally considered to be coarse-grained.
An array partitioned into segments, with each segment residing in the workspace of a different worker. When created, viewed, accessed, or manipulated from the client session, it is referred to as a distributed array. Compare to codistributed array.
Domain Name System. A system that translates Internet domain names into IP addresses.
The ability of a MATLAB worker to employ all the functionality
you are licensed for in the MATLAB client, while checking out
only an engine license. When a job is created in the MATLAB client
with Parallel Computing Toolbox™ software, the products for which
the client is licensed will be available for all workers that evaluate
tasks for that job. This allows you to run any code on the cluster
that you are licensed for on your MATLAB client, without requiring
extra licenses for the worker beyond MATLAB Distributed Computing Server™ software.
For a list of products that are not eligible for use with Parallel Computing Toolbox software,
An application for which run time is significantly less than the communication time needed to start and stop the program. Compare to coarse-grained applications.
Graphics Processing Unit, now widely used for general purpose (GP) GPU computing
Usually, the node of the cluster designated for running the job scheduler and license manager. It is often useful to run all the nonworker related processes on a single machine.
A cluster that is not homogeneous.
A cluster of identical machines, in terms of both hardware and software.
A job composed of independent tasks, which do not communication with each other during evaluation. Tasks do not need to run simultaneously.
The complete large-scale operation to perform in MATLAB, composed of a set of tasks.
Snapshot of information necessary for the MATLAB job scheduler to recover from a system crash or reboot.
The database that the MATLAB job scheduler uses to store the information about its jobs and tasks.
The name of the parameter in the
that defines the directory where logs are stored.
The MathWorks® process that queues jobs and assigns tasks to workers. Formerly known as a job manager.
The service that has to run on all machines before they can run a MATLAB job scheduler or worker. This is the engine foundation process, making sure that the job scheduler and worker processes that it controls are always running.
Note that the program and service name is all lowercase letters.
The file that defines all the defaults for the mdce processes by allowing you to set preferences or definitions in the form of parameter values.
Message Passing Interface, the means by which workers communicate with each other while running tasks in the same job.
A computer that is part of a cluster.
The same application that runs on several workers simultaneously, with communication, shared data, or synchronization points between the workers.
An array which resides in the workspaces of one or more, but perhaps not all workers. There might or might not be a relationship between the values of these arrays among the workers.
A random unprivileged TCP port, i.e., a random TCP port above 1024.
The action that happens when both worker and MATLAB job scheduler are started and the worker contacts the job scheduler.
An array which resides in the workspaces of all workers, and whose size and content are identical on all workers.
The process, either local, third-party, or the MATLAB job scheduler, that queues jobs and assigns tasks to workers.
A block of code that executes simultaneously on multiple workers in a parallel pool. Each worker can operate on a different data set or different portion of distributed data, and can communicate with other participating workers while performing the parallel computations.
One segment of a job to be evaluated by a worker.
smallest set of instructions that can be managed independently by a scheduler. On a GPU, multiprocessor or multicore system, multiple threads can be executed simultaneously (multi-threading)
An array which resides in the workspaces of all workers, but whose content differs on these workers.
The MATLAB session that performs the task computations. Also known as the MATLAB worker or worker process.
Files required by the worker during the execution of tasks.