GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

AI is the backbone of technologies such as Alexa and Siri-- digital assistants that rely on deep machine learning to do their thing. But for the makers of these products -- and others that rely on AI ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Minimum spanning tree is a classical problem in graph theory that plays a key role in a broad domain of applications. This paper proposes a minimum spanning tree algorithm using Prim’s approach on ...

Multiple facets of technology are trending towards artificial intelligence these days, in applications both big and small. As that's been happening, graphics processing units (GPUs) have taken on the ...

Rice University computer scientists have overcome a major obstacle in the burgeoning artificial intelligence industry by showing it is possible to speed up deep learning technology without specialized ...

In this video, Michael Garland discusses algorithmic design on GPUs with some emphasis on sparse matrix computation. Recorded at the 2010 Virtual Summer School of Computation Science and Engineering ...

An end-to-end data science ecosystem, open source RAPIDS gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware Building machine learning models is a repetitive process.