{"id":20164117,"url":"https://github.com/southernmethodistuniversity/fast_python","last_synced_at":"2025-04-10T00:51:30.277Z","repository":{"id":91997497,"uuid":"247479217","full_name":"SouthernMethodistUniversity/fast_python","owner":"SouthernMethodistUniversity","description":"Tools for Developing Fast Python Code","archived":false,"fork":false,"pushed_at":"2020-03-25T22:13:48.000Z","size":18,"stargazers_count":5,"open_issues_count":0,"forks_count":4,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-10T00:51:24.580Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Tools for Developing Fast Python Code\n\n## Center for Scientific Computation (CSC)\n\n* Maintains our primary shared resource for research computing, ManeFrame II (M2),\n  in collaboration with OIT\n* Provides research computing tools, support, and training to all faculty, staff,\n  and students using research computing resources\n  [www.smu.edu/csc](https://www.smu.edu/csc) has documentation and news\n* [help@smu.edu](mailto:help@smu.edu) or\n  [rkalescky@smu.edu](mailto:rkalescky@smu.edu) for help\n  \n## CSC Workshop Series\n\n|Date         |Workshop                                                     |\n|-------------|-------------------------------------------------------------|\n|January 21   |M2 Introduction                                              |\n|January 28   |Introduction to LAPACK and BLAS                              |\n|February 4   |Text Mining with Python on M2 (Lead by Dr. Eric Godat)       |\n|February 11  |Using the New HPC Portal                                     |\n|February 18  |Using GitHub                                                 |\n|February 25  |Writing Portable Accelerator Code with KOKKOS, RAJA, and OCCA|\n|March 3      |M2 Introduction                                              |\n|March 10     |Introduction to Parallelization Using MPI                    |\n|March 17     |No Workshop Spring Break                                     |\n|March 24     |Writing High Performance Python Code                         |\n|March 31     |Creating Portable Environments with Docker and Singularity   |\n|April 7      |M2 Introduction                                              |\n|April 14     |Introduction to Parallelization Using OpenMP and OpenACC     |\n|April 21     |Profiling Applications on M2                                 |\n|April 28     |Improving Code Vectorization                                 |\n                                                                                              \n## Using This Notebook on ManeFrame II (M2)\n\n1.  Go to [hpc.smu.edu](https://hpc.smu.edu/).\n2.  Sign in using your SMU ID and SMU password.\n3.  Select \"JupyterLab from the \"Interactive Apps\" drop-down menu.\n4.  Select options required for your JupyterLab instance. These options are the\n    same as those requested via a standard Slurm script on M2. For this tutorial:\n    beginning with the \"Partition\" field the values should be: \"htc\", 4, 1, 2, 0,\n    6.\n5.  Select \"Launch\" Wait for the job to start on M2. When the job starts\n    a new button \"Connect to JupyterLab\" button will appear.\n6.  Select \"Connect to JupyterLab\" The JupyterLab graphical interface will be\n    presented and running on the M2 resource requested.\n7.  From \"Launcher\" tab select \"Terminal\".\n8.  Type ``git clone\n    https://github.com/SouthernMethodistUniversity/fast_python.git`` and\n    press \"Enter\"\n9.  In the file browser on the left double-click \"Text_Mining_Python\" and then\n    double click \"text_mining_python.ipynb\"\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsouthernmethodistuniversity%2Ffast_python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsouthernmethodistuniversity%2Ffast_python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsouthernmethodistuniversity%2Ffast_python/lists"}