{"id":163368,"date":"2011-06-17T00:00:00","date_gmt":"2011-06-17T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/using-dryadlinq-for-large-matrix-operations\/"},"modified":"2018-10-16T20:18:49","modified_gmt":"2018-10-17T03:18:49","slug":"using-dryadlinq-for-large-matrix-operations","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/using-dryadlinq-for-large-matrix-operations\/","title":{"rendered":"Using DryadLINQ for Large Matrix Operations"},"content":{"rendered":"<div class=\"asset-content\">\n<p>DryadLINQ is a system that facilitates the construction of distributed execution plans for processing large amounts of data on clusters containing potentially thousands of computers. In this paper, we explore how to use DryadLINQ to perform basic matrix operations on large matrices.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>DryadLINQ is a system that facilitates the construction of distributed execution plans for processing large amounts of data on clusters containing potentially thousands of computers. In this paper, we explore how to use DryadLINQ to perform basic matrix operations on large matrices.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13560,13547],"msr-publication-type":[193718],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-163368","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-programming-languages-software-engineering","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"Microsoft Technical Report","msr_edition":"","msr_affiliation":"","msr_published_date":"2011-06-17","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"MSR-TR-2011-140","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"220246","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"paper.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2011\/06\/paper.pdf","id":220246,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":220246,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2011\/06\/paper.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"mcsherry","user_id":32863,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=mcsherry"},{"type":"user_nicename","value":"tomr","user_id":34248,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=tomr"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[169537,169536],"publication":[],"video":[],"download":[],"msr_publication_type":"techreport","related_content":{"projects":[{"ID":169537,"post_title":"DryadLINQ","post_name":"dryadlinq","post_type":"msr-project","post_date":"2007-05-31 11:04:14","post_modified":"2017-06-08 12:01:42","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/dryadlinq\/","post_excerpt":"DryadLINQ is a simple, powerful, and elegant programming environment for writing large-scale data parallel applications running on large PC clusters. Overview The goal of DryadLINQ is to make distributed computing on large compute cluster simple enough for every programmer. DryadLINQ combines two important pieces of Microsoft technology: the Dryad distributed execution engine and the .NET Language Integrated Query (LINQ). Dryad provides reliable, distributed computing on thousands of servers for large-scale data parallel applications. LINQ enables&hellip;","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/169537"}]}},{"ID":169536,"post_title":"Dryad","post_name":"dryad","post_type":"msr-project","post_date":"2004-12-16 14:57:41","post_modified":"2017-06-08 11:59:55","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/dryad\/","post_excerpt":"The Dryad Project is investigating programming models for writing parallel and distributed programs to scale from a small cluster to a large data-center. Overview New! Dryad and DryadLINQ are now available in source form at the Dryad GitHub repository, with pre-built binaries available from NuGet.org. For release documentation see our Getting Started with DryadLINQ page. Most of the information below is historical and will be updated over time and migrated to the DryadLINQ documentation\u00a0site. 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