Articles tagged with Computer Hardware
GraphIt, a state-of-the-art graph programming language, has been extended to run on graphics processing units (GPUs), enabling faster graph analysis. This advance accelerates graph algorithms, particularly those that benefit from parallelism, such as recommendation algorithms and internet search functions.
Xiaochen Guo, a Lehigh University professor, aims to improve data movement efficiency by revamping memory systems. Her goal is to proactively create and redefine locality in hardware, unlocking fundamental improvements for machine learning applications.
Researchers from UConn, University of Maryland, and Rice University will analyze and upgrade security protections for nanoscale computer hardware with a $7.5 million grant. The project aims to elevate security as a fundamental design parameter for next-generation nanoscale devices.