News

As demand for speed and data processing explodes, GPUs are becoming essential for unlocking the potential of next-generation technologies like AI and edge computing. Graphics processing units ...
This study presents the first constrained sparse tensor factorization (cSTF) framework that optimizes and fully offloads computation to massively parallel GPU architectures, and the first performance ...
Existing processors in PCs, smartphones and other devices can be supercharged for enormous power and efficiency gains using a new parallel processing software framework designed to eliminate ...
Mixing-Filtering-Processing (MFP) digitizers are a class of high-speed digitizers, employing mixers, filters and data converters to obtain high sampling frequencies and large bandwidths. We propose a ...
What Does Parallel Processing Mean? Parallel processing is a method of simultaneously breaking up and running program tasks on multiple microprocessors in order speed up performance time. Parallel ...
Department of Linguistics, University of Oregon, Eugene, OR, United States How do speakers produce novel words? This programmatic paper synthesizes research in linguistics and neuroscience to argue ...