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RemoteServicesKernel   (Lightweight Grid Client Symbol)
RemoteServicesKernel[properties] contains a list of properties about a currently open Lightweight Grid kernel.
RemoteServicesLinks   (Lightweight Grid Client Symbol)
RemoteServicesLinks[] returns the list of all Lightweight Grid kernels that are currently open.
RemoteServices   (Lightweight Grid Client Symbol)
RemoteServices[manager] is a description of a subkernel to be launched on manager by the Lightweight Grid System.RemoteServices[{"Agent" -> agent, "KernelCount" -> count, ...
Introduction to the Wolfram Lightweight ...   (Lightweight Grid Client Tutorial)
The Wolfram Lightweight Grid System provides functions for launching and managing remote kernels, one part of a complete Mathematica^® parallel computing environment. With ...
Parallel Computing Tools   (Parallel Guide)
Mathematica provides a powerful and unique environment for parallel computing. Much of the functionality can be used with a minimum of effort and without paying too much ...
Concurrency: Managing Parallel Processes   (Parallel Package Tutorial)
A process is simply a Mathematica expression being evaluated. A processor is a parallel kernel that performs such evaluations. The command ParallelEvaluate discussed in the ...
Configuring and Monitoring   (Parallel Package Tutorial)
Mathematica provides a number of tools for configuring and monitoring parallel computations. Some of these are accessed using menus from the Mathematica notebook front end. ...
Launching and Connecting   (Parallel Package Tutorial)
Mathematica can run parallel kernels in a number of different ways; locally on the same machine or remote on other machines connected in a network. Furthermore, the network ...
Failure Recovery, Tracing, and Debugging   (Parallel Package Tutorial)
A remote kernel in use may fail at any time, due to hardware, network, or software problems. A failure of a remote kernel will be noticed the next time Parallel Computing ...
Getting Started   (Parallel Package Tutorial)
Mathematica comes with all the tools and configuration so you can immediately carry out parallel computing. Note that, to take advantage of parallel computing it is often ...
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