{"id":162682,"date":"2012-06-01T00:00:00","date_gmt":"2012-06-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/managing-large-graphs-on-multi-cores-with-graph-awareness\/"},"modified":"2018-10-16T20:46:28","modified_gmt":"2018-10-17T03:46:28","slug":"managing-large-graphs-on-multi-cores-with-graph-awareness","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/managing-large-graphs-on-multi-cores-with-graph-awareness\/","title":{"rendered":"Managing Large Graphs on Multi-Cores with Graph Awareness"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Grace is a graph-aware, in-memory, transactional graph management system, specifically built for real-time queries and fast iterative computations. It is designed to run on large multi-cores, taking advantage of the inherent parallelism to improve its performance. Grace contains a number of graph-specific and multi-core-specific optimizations including graph partitioning, careful in-memory vertex ordering, updates batching, and load-balancing. It supports queries, searches, iterative computations, and transactional updates. Grace scales to large graphs (e.g., a Hotmail graph with 320 million vertices) and performs up to two orders of magnitude faster than commercial key-value stores and graph databases.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Grace is a graph-aware, in-memory, transactional graph management system, specifically built for real-time queries and fast iterative computations. It is designed to run on large multi-cores, taking advantage of the inherent parallelism to improve its performance. Grace contains a number of graph-specific and multi-core-specific optimizations including graph partitioning, careful in-memory vertex ordering, updates batching, and [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"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-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-162682","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"USENIX","msr_edition":"USENIX Annual Technical Conference (USENIX 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