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2. In-Memory Graph Databases for Web-Scale Data
 
 # In-Memory Graph Databases for Web-Scale Data

  ![Publication image](/sites/default/files/styles/wide/public/default_images/default.jpeg?itok=qUFsuJCP "Publication image")

 A software stack relies primarily on graph-based methods to implement scalable resource description framework databases on top of commodity clusters, providing an inexpensive way to extract meaning from volumes of heterogeneous data.



 ## Authors



Vito Giovanni Castellana (Pacific Northwest National Lab)

Alessandro Morari (Pacific Northwest National Lab)

Jesse Weaver (Pacific Northwest National Lab)

Antonino Time (Pacific Northwest National Lab)

David Haglin (Pacific Northwest National Lab)

Oreste Villa (NVIDIA)

John Feo (Context Relevant)

 

 

 ## Publication Date



Wednesday, March 18, 2015

 

 ## Published in



[IEEE Computer](https://ieeexplore.ieee.org/document/7063171)

 

 ## Research Area



[Computer Architecture](/research-area/computer-architecture)

[High Performance Computing](/research-area/high-performance-computing)

 

 

 ## External Links



[Published manuscript (IEEE Digital Library)](https://ieeexplore.ieee.org/document/7063171)

 

 

 ## Copyright



This material is posted here with permission of the IEEE. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to <pubs-permissions@ieee.org>.