octave/matlab mpi并行包

# mpi framework About mpi --------------- HPCmatlab is a framework for fast prototyping of parallel applications on Matlab. It uses the Message Passing Interface (MPI) for sending and receiving messages among different Matlab processes. The users can use mex functions with syntax similar to the MPI standard syntax. ### This version of HPCmatlab is compatible with Matlab versions up to R2015a only. It is not compatible with Matlab versions R2015b onward. We are currently adding support for newer Matlab versions. Version 2.0 ----------- This version includes our MPI functions. Documentation ------------- The User Guide for this version is included in form of the PDF file "HPCmatlab_1.0_User_Guide.pdf" under `doc/` For users new to parallel programming, we recommend trying out the simple send-receive examples first to get started with the framework. For details on implementation and performance results, refer our conference paper URL: http://dx.doi.org/10.1016/j.procs.2016.05.467 A PDF copy of this paper can also be found under `doc/`. ([CC BY-NC-ND 4.0] (https://creativecommons.org/licenses/by-nc-nd/4.0/ "CC BY-NC-ND 4.0")) Examples -------- The examples of simple programs using point-to-point, collective and one-sided communications are included under `examples/` directory. They also have sample job submission files for SLURM. Installation and Use -------------------- 在yhmatsoft中,pkg install name.tar.gz GitHub download page: https://github.com/xinchenguo/HPCmatlab 1. Make sure Matlab's `mex` compiler is in your $PATH. Also, `mpicc` and `mpicxx` should be in $PATH with all environment variables set up for MPI libraries. 2. Run `make` to compile the MEX functions from source code. The MEX functions will be placed under `matlab/` directory. 3. There are two ways to add the path to these functions to Matlab's search path: * Before running your script, set the `MATLABPATH` environment variable, e.g. `export MATLABPATH=/path/to/HPCmatlab/matlab:$MATLABPATH` * At the start of your Matlab script, use Matlab's `addpath` function. Refer examples for how to do this. 4. Use the default MPI command (`mpirun`,`mpiexec`,`srun`, etc.) of a cluster to start MATLAB with HPCmatlab framework. * `mpirun -n 2 matlab -r "test,exit"` * Refer to your cluster's user guide or consult your system admin for the proper MPI command Contact ------- Use our GitHub page for questions, bug reports, comments, feedback and suggestions: https://github.com/xinchenguo/HPCmatlab/issues Citation -------- ``` @article{Guo20161461, title = "HPCmatlab: A Framework for Fast Prototyping of Parallel Applications in Matlab ", journal = "Procedia Computer Science ", volume = "80", number = "", pages = "1461 - 1472", year = "2016", note = "International Conference on Computational Science 2016, \{ICCS\} 2016, 6-8 June 2016, San Diego, California, \{USA\} ", issn = "1877-0509", doi = "http://dx.doi.org/10.1016/j.procs.2016.05.467", url = "http://www.sciencedirect.com/science/article/pii/S1877050916309516", author = "Xinchen Guo and Mukul Dave and Mohamed Sayeed", keywords = "Parallel Programming", keywords = "Message Passing Interface", keywords = "Matlab", keywords = "MEX Functions", keywords = "Parallel I/O " } ```