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Managing Large Graphs on Multi-Cores with Graph Awareness
12 Tuesday | 13 Wednesday | 14 Thursday | 15 Friday |
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HotCloud '12 | TaPP '12 | ||
WiAC '12 | USENIX ATC '12 | ||
UCMS '12 | HotStorage '12 | NSDR '12 | |
USENIX Cyberlaw '12 | WebApps '12 |
Vijayan Prabhakaran, Ming Wu, Xuetian Weng, Frank McSherry, Lidong Zhou, and Maya Haridasan, Microsoft Research
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.
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author = {Vijayan Prabhakaran and Ming Wu and Xuetian Weng and Frank McSherry and Lidong Zhou and Maya Haradasan},
title = {Managing Large Graphs on {Multi-Cores} with Graph Awareness},
booktitle = {2012 USENIX Annual Technical Conference (USENIX ATC 12)},
year = {2012},
isbn = {978-931971-93-5},
address = {Boston, MA},
pages = {41--52},
url = {https://www.usenix.org/conference/atc12/technical-sessions/presentation/prabhakaran},
publisher = {USENIX Association},
month = jun
}
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