Concurrent with SC09, PGI is offering the tutorial “GPU Programming with the PGI Accelerator Programming Model and PGI CUDA Fortran”. The tutorial is Monday, 16 November, 2009 in Portland, a few ...

While GPUs excel at highly parallel tasks, they struggle with irregular access patterns such as those found in graph or sparse matrix operations. In these cases, where SIMT is not possible and ...

In GPU programming, several key challenges must be addressed to optimize performance effectively. These challenges are crucial in leveraging the full potential of GPUs for parallel processing tasks.

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...

Today marks the official launch of PeakStream, a software start-up that has been operating in stealth mode for over a year now while developing a new type of software platform aimed at making ...

GPU stands for graphics processing unit, but these tiny chips can be used for much more than just graphics. Google is using GPUs to model the human brain, and Salesforce leans on them as a way of ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions. The landscape of linear ...