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Title: Accelerating semantic graph databases on commodity clusters

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.
Authors:
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Publication Date:
OSTI Identifier:
1123250
Report Number(s):
PNNL-SA-98187
400470000
DOE Contract Number:
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: IEEE International Conference on Big Data (Big Data 2013), October 6-9, 2013, Silicon Valley, California, 768-772
Publisher:
Institute of Electrical and Electronics Engineers , Piscataway, NJ, United States(US).
Research Org:
Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
SGEM; SGLib; GMT; Semantic graph databases; commodity clusters; multithreading; data aggreggation