Add to ORKGBy analyzing graphs using specialized algorithms, complex relationships and deeper insight can be extracted from the raw information. In the last several years, the Laboratory has developed the Graph Processor, which has a unique hardware architecture that provides 100 to 1000 times better processing performance for analyzing large graph datasets. The Data Science and Technology Research Environment (DataSToRM) program is developing a software environment and algorithms to take advantage of the Graph Processor’s capabilities
Graph Database Management Systems(DBMS) are the fastest growing category of DBMS used by developers....
The Data group provides data analysis and visualization support to its customers. This consists prim...
High performance and data-intensive computing and networking technology has become a vital part of l...
In order to achieve significantly better graph computation performance, an advanced multiprocessor a...
Real-world applications may involve different kinds of graph computing workloads, which can be categ...
International audiencehis paper proposes a study of existing environments used to enact data science...
Graph algorithms are widely used in Department of Defense applications including intelligence analys...
A graph is a ubiquitous data structure that models entities and their interactions through the colle...
In today’s digital age, data centres and data transmission network are an important source of energy...
Processing graphs, especially at large scale, is an increasingly use-ful activity in a variety of bu...
This report documents the program and the outcomes of Dagstuhl Seminar 14462 "Systems and Algorithms...
R elationship collections are well ex-pressed as graphs, which provide nat-ural human interpretation...
Graph analysis performs many random reads and writes, thus, these workloads are typically performed ...
To acquire stare-of-the-art hardware at reduced cost, the U.S. Navy is committed to buying commercia...
Graphs are becoming more popular day by day. This has lead to the development of different graph-pro...
Graph Database Management Systems(DBMS) are the fastest growing category of DBMS used by developers....
The Data group provides data analysis and visualization support to its customers. This consists prim...
High performance and data-intensive computing and networking technology has become a vital part of l...
In order to achieve significantly better graph computation performance, an advanced multiprocessor a...
Real-world applications may involve different kinds of graph computing workloads, which can be categ...
International audiencehis paper proposes a study of existing environments used to enact data science...
Graph algorithms are widely used in Department of Defense applications including intelligence analys...
A graph is a ubiquitous data structure that models entities and their interactions through the colle...
In today’s digital age, data centres and data transmission network are an important source of energy...
Processing graphs, especially at large scale, is an increasingly use-ful activity in a variety of bu...
This report documents the program and the outcomes of Dagstuhl Seminar 14462 "Systems and Algorithms...
R elationship collections are well ex-pressed as graphs, which provide nat-ural human interpretation...
Graph analysis performs many random reads and writes, thus, these workloads are typically performed ...
To acquire stare-of-the-art hardware at reduced cost, the U.S. Navy is committed to buying commercia...
Graphs are becoming more popular day by day. This has lead to the development of different graph-pro...
Graph Database Management Systems(DBMS) are the fastest growing category of DBMS used by developers....
The Data group provides data analysis and visualization support to its customers. This consists prim...
High performance and data-intensive computing and networking technology has become a vital part of l...