tmp), you should create a subdirectory first (e.g. In general, if you are using a public directory to do communication (e.g. It is very important that you delete these files. In the communication directory, you may have leftover files that look like: In the launch directory, you may have leftover files that look like NOTE: pRUN automatically executes MatMPI_Delete_all before running the next The files can be found in two places: the launching directory and the communication directory (which by default are the same place). If this doesn't work, you can delete the files by hand. MatlabMPI can leave a variety of files lying around, which are best to delete once an error has occurred by starting Matlab and typing:.NOTE: pRUN automatically executes MPI_Abort before running the next job. If this doesn't work, you will need to log into each machine, type"top" and kill the Matlab processes one by one. If a Matlab job is waiting for a message that will never arrive, then you will have to kill it by hand by starting a new Matlab session and typing:.All error logs should be recorded in files If an error is encountered, all the Matlab processes should die gracefully. pRUN automatically appends an "exit" statement to any scripts it runs.PMatlab handles errors in the following manner. Run on multiprocessors and communicate via dir1 and dir2, which must be visible to both machines. The machines variable can be of the following forms: To select which machines to run on, change the "machines" variable in Examples/TestAll/RUN.m.All the examples should run with up to 8 processors. To run using a different number of processors, change the "Ncpus" variable in Examples/TestAll/RUN.m.HPC Challenge High Performance Linpack (HPL) benchmark. To run all of the examples, go to the "Examples/TestAll" directory and type "RUN" (edit the pTestAll.m file if you want to just run one a subset of the examples):.The same procedure can be followed to run any of the examples.Look at MatMPI/*.out to output from the different processors.To run the first example, which computes and displays the Mandebrot set. Go to the "Examples/Mandelbrot" directory and type.Type "help function_name" to get more information on a specific function.
Type "help pMatlab" to get a list of all the functions.Start Matlab from the command line (starting Matlab from the icon may result in inconsistent behavior).To customize the behavior of MatlabMPI for your system. OPTIONAL: You may need to read and edit pMatlab/MatlabMPI/src/MatMPI_Comm_settings.m.
Please see pMatlab/MatlabMPI/README.pc for more info.
If you want to run using The MathWorks PCT you should uncomment the corresponding line to enable this functionality.
PMatlab uses MatlabMPI (included with pMatlab download) for launching programs and communicating between processors and thus has the following requirementsīecause MatlabMPI uses file i/o for communication, there must be a directory that is visible to every machine (this is usually also required in order to install Matlab).
The primary advantages of distributed array programming are: Parallel array programming has proven to be an effective programming style for a wide variety of parallel applications and is consistent with standard Matlab programming style. pMatlab provides a set of data structures and functions that implement distributed arrays. There have been many previous attempts to provide an efficient mechanism for running Matlab programs on parallel computers. Many of these computations could benefit from faster execution on a parallel computer. MATLAB and GNU Octave are popular programming languages for implementing numerical computations and are widely used for algorithm development, simulation, data reduction, testing, and system evaluation.
PC users should read the 1-page manual for running MatlabMPI on a PC (see pMatlab/MatlabMPI/README.pc) It is also helpful to read the 7-page MatlabMPI manual (see pMatlab/MatlabMPI/README). REQUEST TO ALL USERS: Please read all of this 7-page manual (especially the section on ERROR HANDLING) before starting to use pMatlab. Bliss, Jeremy Kepner, Bob Bond, Chansup Byun, Andy Funk, Ryan Haney, Hahn Kim, Julie Mullen, Albert Reuther, Edmund Wong.