{"id":781846,"date":"2021-10-05T10:30:48","date_gmt":"2021-10-05T17:30:48","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=781846"},"modified":"2022-01-19T15:28:54","modified_gmt":"2022-01-19T23:28:54","slug":"prism-rethinking-the-rdma-interface-for-distributed-systems","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/prism-rethinking-the-rdma-interface-for-distributed-systems\/","title":{"rendered":"PRISM: Rethinking the RDMA Interface for Distributed Systems"},"content":{"rendered":"
Remote Direct Memory Access (RDMA) has been used to accelerate a variety of distributed systems, by providing low-latency, CPU-bypassing access to a remote host’s memory. However, most of the distributed protocols used in these systems cannot easily be expressed in terms of the simple memory READs and WRITEs provided by RDMA. As a result, designers face a choice between introducing additional protocol complexity (e.g., additional round trips) or forgoing the benefits of RDMA entirely. This paper argues that an extension to the RDMA interface can resolve this dilemma. We introduce the PRISM interface, which extends the RDMA interface with four new primitives: indirection, allocation, enhanced compare-and-swap, and operation chaining. These increase the expressivity of the RDMA interface, while still being implementable using the same underlying hardware features. We show their utility by designing three new applications using PRISM primitives, that require little to no server-side CPU involvement: (1) PRISM-KV, a key-value store; (2) PRISM-RS a replicated block store; and (3) PRISM-TX, a distributed transaction protocol. Using a software-based implementation of the PRISM primitives, we show that these systems outperform prior RDMA-based equivalents.<\/p>\n","protected":false},"excerpt":{"rendered":"
Remote Direct Memory Access (RDMA) has been used to accelerate a variety of distributed systems, by providing low-latency, CPU-bypassing access to a remote host’s memory. However, most of the distributed protocols used in these systems cannot easily be expressed in terms of the simple memory READs and WRITEs provided by RDMA. As a result, designers […]<\/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":[13547],"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-781846","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2021-10-1","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_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":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/irenezhang.net\/papers\/prism-sosp21.pdf","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Sowmya Dharanipragada","user_id":0,"rest_url":false},{"type":"text","value":"Shannon Joyner","user_id":0,"rest_url":false},{"type":"text","value":"Matthew Burke","user_id":0,"rest_url":false},{"type":"text","value":"Adriana Szekeres","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Jacob Nelson","user_id":36275,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Jacob Nelson"},{"type":"user_nicename","value":"Irene Zhang","user_id":37032,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Irene Zhang"},{"type":"user_nicename","value":"Dan Ports","user_id":37404,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Dan Ports"}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[144927],"msr_project":[617940],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":617940,"post_title":"Prometheus","post_name":"prometheus-microsoft-research","post_type":"msr-project","post_date":"2019-10-28 12:28:14","post_modified":"2022-04-21 15:55:10","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/prometheus-microsoft-research\/","post_excerpt":"Project Prometheus is building faster, more efficient datacenter systems by co-designing distributed systems with new network primitives. 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