Accelerating Semantic Graph Databases on Commodity Clusters.

Alessandro Morari,Vito Giovanni Castellana,David Haglin,John Feo,Jesse Weaver,Antonino Tumeo,Oreste Villa

2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA（2013）

Pacific NW Natl Lab

被引用5|浏览12

摘要

We are developing a full software system for accelerating semantic graph databases on commodity cluster that scales to hundreds of nodes while maintaining constant query throughput. Our framework comprises a SPARQL to C++ compiler, a library of parallel graph methods and a custom multithreaded runtime layer, which provides a Partitioned Global Address Space (PGAS) programming model with fork/join parallelism and automatic load balancing over a commodity clusters. We present preliminary results for the compiler and for the runtime.

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关键词

C++ language,graph theory,multi-threading,parallel databases,program compilers,query processing,resource allocation,C++ compiler,PGAS,SPARQL,automatic load balancing,commodity clusters,constant query throughput,custom multithreaded runtime layer,fork-join parallelism,full software system,parallel graph methods,partitioned global address space programming model,semantic graph databases