With a $9.2 million grant from Intelligence Advanced Research Projects Activity (IARPA), Prof. Andrew A. Chien will lead a team of University of Chicago computer science researchers building the ...
BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
A research team has developed a new technology that enables to process a large-scale graph algorithm without storing the graph in the main memory or on disks. A KAIST research team has developed a new ...
On the subject of GreenOps, Tomicevic thinks simplistic anti-cloud arguments miss the point and believes graph technology deserves its own green spotlight – he writes as follows… It’s no secret that ...
Abstract: The speed of algorithms on massive graphs depends on the size of the given data. Grammar-based compression is a technique to compress the size of a graph while still allowing to read or to ...
Aerospike, Inc. is debuting their new graph database, built to be developer-ready, real-time, and highly scalable. The launch of Aerospike Graph responds to the lack of graph database solutions that ...
Graph matching remains a core challenge in computer vision, where establishing correspondences between features is crucial for tasks such as object recognition, 3D reconstruction and scene ...