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{ "category": "SciPy 2012", "language": "English", "slug": "solving-the-import-problem-scalable-dynamic-load", "speakers": [ "Aron Ahmadia", "Jed Brown", "William Scullin" ], "tags": [ "hpc" ], "id": 1201, "state": 1, "title": "Solving the import problem: Scalable Dynamic Loading Network File Systems", "summary": "", "description": "The most common programming paradigm for scientific computing, SPMD (Single\r\nProgram Multiple Data), catastrophically interacts with the loading strategies\r\nof dynamically linked executables and network-attached file systems on even\r\nmoderately sized high performance computing clusters. This difficulty is\r\nfurther exacerbated by \"function-shipped\" I/O on modern supercomputer compute\r\nnodes, preventing the deployment of simple solutions. In this talk, we\r\nintroduce a two-component solution: collfs, a set of low-level MPI-collective\r\nfile operations that can selectively shadow file system access in a library,\r\nand walla, a set of Python import hooks for seamlessly enabling parallel\r\ndynamic loading scalable to tens of thousands of cores.\r\n\r\n", "quality_notes": "", "copyright_text": "CC BY-SA", "embed": "<object width=\"640\" height=\"390\"><param name=\"movie\" value=\";hl=en_US\"></param><param name=\"allowFullScreen\" value=\"true\"></param><param name=\"allowscriptaccess\" value=\"always\"></param><embed src=\";hl=en_US\" type=\"application/x-shockwave-flash\" width=\"640\" height=\"390\" allowscriptaccess=\"always\" allowfullscreen=\"true\"></embed></object>", "thumbnail_url": "", "duration": null, "video_ogv_length": null, "video_ogv_url": "", "video_ogv_download_only": false, "video_mp4_length": null, "video_mp4_url": "", "video_mp4_download_only": false, "video_webm_length": null, "video_webm_url": "", "video_webm_download_only": false, "video_flv_length": null, "video_flv_url": "", "video_flv_download_only": false, "source_url": "", "whiteboard": "", "recorded": "2012-07-18", "added": "2012-08-31T16:34:44", "updated": "2014-04-08T20:28:27.162" }