{"id":159773,"date":"2010-10-01T00:00:00","date_gmt":"2010-10-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/concurrent-programming-with-revisions-and-isolation-types\/"},"modified":"2018-10-16T19:58:08","modified_gmt":"2018-10-17T02:58:08","slug":"concurrent-programming-with-revisions-and-isolation-types","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/concurrent-programming-with-revisions-and-isolation-types\/","title":{"rendered":"Concurrent Programming with Revisions and Isolation Types"},"content":{"rendered":"
\n

Building applications that are responsive and can exploit parallel hardware while remaining simple to write, understand, test, and maintain, poses an important challenge for developers. In particular, it is often desirable to enable various tasks to read or modify shared data concurrently without requiring complicated locking schemes that may throttle concurrency and introduce bugs. We introduce a mechanism that simplifies the use of concurrent heterogeneous tasks. Programmers declare what data they wish to share between tasks by using isolation types, and execute tasks concurrently by forking and joining revisions. These revisions are isolated: they read and modify their own private copy of the shared data only. A runtime creates and merges copies automatically, and resolves conflicts deterministically, in a manner declared by the chosen isolation type. To demonstrate the practical viability of our approach, we developed an efficient algorithm and an implementation in the form of a C# library, and used it to parallelize an interactive game application. Our results show that the parallelized game, while simple and very similar to the original sequential game, achieves satisfactory speedups on a multicore processor.<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Building applications that are responsive and can exploit parallel hardware while remaining simple to write, understand, test, and maintain, poses an important challenge for developers. In particular, it is often desirable to enable various tasks to read or modify shared data concurrently without requiring complicated locking schemes that may throttle concurrency and introduce bugs. We […]<\/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],"msr-publication-type":[193716],"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-159773","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-programming-languages-software-engineering","msr-locale-en_us"],"msr_publishername":"ACM SIGPLAN","msr_edition":"Proceedings of the ACM International Conference on Object Oriented Programming Systems Languages and Applications (OOPSLA'10)","msr_affiliation":"","msr_published_date":"2010-10-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"Proceedings of the ACM International Conference on Object Oriented Programming Systems Languages and Applications (OOPSLA'10)","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","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":"206947","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"revisions-FOOL-2010.pptx","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/revisions-FOOL-2010.pptx","id":206947,"label_id":0},{"type":"file","title":"revisions-oopsla-2010.pptx","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/revisions-oopsla-2010.pptx","id":206946,"label_id":0},{"type":"file","title":"revisions-oopsla2010.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/revisions-oopsla2010.pdf","id":206945,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":206947,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/revisions-FOOL-2010.pptx"},{"id":206946,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/revisions-oopsla-2010.pptx"},{"id":206945,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/revisions-oopsla2010.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"sburckha","user_id":33544,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=sburckha"},{"type":"text","value":"Alexandro Baldassion","user_id":0,"rest_url":false},{"type":"user_nicename","value":"daan","user_id":31497,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=daan"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[170557],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":170557,"post_title":"Concurrent Revisions","post_name":"concurrent-revisions","post_type":"msr-project","post_date":"2010-09-15 15:02:07","post_modified":"2017-06-06 09:38:46","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/concurrent-revisions\/","post_excerpt":"The Revisions project introduces a novel programming model for concurrent, parallel, and distributed applications. It provides programmers with a simple, yet powerful and efficient mechanism (based on mutable snapshots and deterministic conflict resolution) to execute various application tasks in parallel even if those tasks access the same data and may exhibit read-write or write-write conflicts. 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