{"id":92,"date":"2019-11-10T12:57:54","date_gmt":"2019-11-10T12:57:54","guid":{"rendered":"http:\/\/localhost\/wordpress\/?p=92"},"modified":"2021-05-29T17:48:46","modified_gmt":"2021-05-29T17:48:46","slug":"pyaesar-a-multi-noded-multi-processor-api","status":"publish","type":"post","link":"http:\/\/localhost\/wordpress\/pyaesar-a-multi-noded-multi-processor-api\/","title":{"rendered":"Pyaesar: A Multi-Noded Multi-Processor API"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"92\" class=\"elementor elementor-92\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4d719e0b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4d719e0b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5255d757\" data-id=\"5255d757\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2142ac5e elementor-widget elementor-widget-text-editor\" data-id=\"2142ac5e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<!-- wp:paragraph -->\n<p>I have created a Python software package that allows users to take advantage of multi-processing on multiple nodes. This code is developed as a combination of the <a href=\"https:\/\/docs.python.org\/3\/library\/multiprocessing.html\" target=\"_blank\" rel=\"noreferrer noopener\">multi-process API<\/a> and the <a href=\"https:\/\/mpi4py.readthedocs.io\/en\/stable\/\" target=\"_blank\" rel=\"noreferrer noopener\">MPI4Py API<\/a> (similar to a MAP). By leveraging the MPI4Py code we can distribute the data across nodes and then generate a pool on each node to process the data concurrently.<\/p>\n<!-- \/wp:paragraph --><!-- wp:paragraph -->\n<p>The benefits of this code allows users to take full advantage of mapping programming pools to different allocated compute nodes. while the implementations of this are diverse I am currently in the process of writing a paper to list the computational speed up, comparison to other software and analysis of the code.<\/p>\n<!-- \/wp:paragraph --><!-- wp:paragraph -->\n<p>Feel free to checkout the code by clicking <a href=\"https:\/\/gitlab.com\/published_work\/pyaesar\">here<\/a><\/p>\n<!-- \/wp:paragraph -->\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>I have created a Python software package that allows users to take advantage of multi-processing on multiple nodes.<\/p>\n<p><a class=\"more-link\" href=\"http:\/\/localhost\/wordpress\/pyaesar-a-multi-noded-multi-processor-api\/\">Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":94,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"categories":[15,16],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.5 - 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