Add to ORKGIn order to achieve significantly better graph computation performance, an advanced multiprocessor architecture has been developed that is optimized for analysis of large databases
Graph analysis performs many random reads and writes, thus, these workloads are typically performed ...
Designing a graph processing system that can scale to graph sizes that are orders of magnitude large...
2018-10-16Graph analytics has drawn much research interest because of its broad applicability from m...
By analyzing graphs using specialized algorithms, complex relationships and deeper insight can be ex...
Graph algorithms are widely used in Department of Defense applications including intelligence analys...
With the ever-increasing amount of data and input variations, portable performance is becoming harde...
A graph is a ubiquitous data structure that models entities and their interactions through the colle...
Graph processing is increasingly popular in a variety of scientific and engineering domains. Consequ...
The explosion of digital data and the ever-growing need for fast data analysis have made in-memory b...
Intel Xeon Phi many-integrated-core (MIC) architectures usher in a new era of terascale integration....
Graph processing systems are used in a wide variety of fields, ranging from biology to social networ...
Data analysis is a rising field of interest for computer science research due to the growing amount ...
The objective of many ongoing research projects in high performance computing (HPC) areas is to deve...
To acquire stare-of-the-art hardware at reduced cost, the U.S. Navy is committed to buying commercia...
Thesis (Ph.D.)--University of Washington, 2021Graph processing is an area of increasing importance i...
Graph analysis performs many random reads and writes, thus, these workloads are typically performed ...
Designing a graph processing system that can scale to graph sizes that are orders of magnitude large...
2018-10-16Graph analytics has drawn much research interest because of its broad applicability from m...
By analyzing graphs using specialized algorithms, complex relationships and deeper insight can be ex...
Graph algorithms are widely used in Department of Defense applications including intelligence analys...
With the ever-increasing amount of data and input variations, portable performance is becoming harde...
A graph is a ubiquitous data structure that models entities and their interactions through the colle...
Graph processing is increasingly popular in a variety of scientific and engineering domains. Consequ...
The explosion of digital data and the ever-growing need for fast data analysis have made in-memory b...
Intel Xeon Phi many-integrated-core (MIC) architectures usher in a new era of terascale integration....
Graph processing systems are used in a wide variety of fields, ranging from biology to social networ...
Data analysis is a rising field of interest for computer science research due to the growing amount ...
The objective of many ongoing research projects in high performance computing (HPC) areas is to deve...
To acquire stare-of-the-art hardware at reduced cost, the U.S. Navy is committed to buying commercia...
Thesis (Ph.D.)--University of Washington, 2021Graph processing is an area of increasing importance i...
Graph analysis performs many random reads and writes, thus, these workloads are typically performed ...
Designing a graph processing system that can scale to graph sizes that are orders of magnitude large...
2018-10-16Graph analytics has drawn much research interest because of its broad applicability from m...