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Title: Accelerating semantic graph databases on commodity clusters

Abstract

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:
; ; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
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
Country of Publication:
United States
Language:
English
Subject:
SGEM; SGLib; GMT; Semantic graph databases; commodity clusters; multithreading; data aggreggation

Citation Formats

Morari, Alessandro, Castellana, Vito G., Haglin, David J., Feo, John T., Weaver, Jesse R., Tumeo, Antonino, and Villa, Oreste. Accelerating semantic graph databases on commodity clusters. United States: N. p., 2013. Web. doi:10.1109/BigData.2013.6691650.
Morari, Alessandro, Castellana, Vito G., Haglin, David J., Feo, John T., Weaver, Jesse R., Tumeo, Antonino, & Villa, Oreste. Accelerating semantic graph databases on commodity clusters. United States. doi:10.1109/BigData.2013.6691650.
Morari, Alessandro, Castellana, Vito G., Haglin, David J., Feo, John T., Weaver, Jesse R., Tumeo, Antonino, and Villa, Oreste. Sun . "Accelerating semantic graph databases on commodity clusters". United States. doi:10.1109/BigData.2013.6691650.
@article{osti_1123250,
title = {Accelerating semantic graph databases on commodity clusters},
author = {Morari, Alessandro and Castellana, Vito G. and Haglin, David J. and Feo, John T. and Weaver, Jesse R. and Tumeo, Antonino and Villa, Oreste},
abstractNote = {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.},
doi = {10.1109/BigData.2013.6691650},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {10}
}

Conference:
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