New computational techniques, 'HighLight' and 'Tailors and Swiftiles,' could dramatically boost the speed and performance of high-performance computing applications like graph analytics or ...

High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. ... Frontiers of Computer Science DOI 10.1007/s11704-023-3521-y. Keywords ...

Chien will lead a team of UChicago computer science researchers including Henry Hoffmann, Yanjing Li, and Michael Maire; the team also includes graph computing experts from Purdue University and ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Expanders graphs are sparse but well-connected. ... Computer Science McCormick School of Engineering, Northwestern University. Mudd Hall 2233 Tech Drive, Third Floor, Evanston, IL 60208. Phone: ...

Specialised computers have been developed for sparse computing to pursue machine learning, To demonstrate the effectiveness, societal impact, and usability of the framework, the SparCity project will ...