CUDA. Performance increases. GPUs. NVIDIA. Tesla Compute Cluster. Somehow or another, all of those are interconnected in NVIDIA's latest announcement, in which they have revealed Parallel Nsight ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model. The new ...

Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...

NVIDIA's CUDA (Compute Unified Device Architecture) makes programming and using thousands of simultaneous threads straightforward. CUDA turns workstations, clusters—and even laptops—into massively ...

In this video from the GPU Technology Conference, Chris Gottbrath from Rogue Wave Software presents: Three Ways to Debug Parallel CUDA Applications: Interactive, Batch, and Corefile. There are now ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

BANGALORE, INDIA: Before explaining the implementation of CUDA, let's refresh what the difference between a CPU and a GPU is. CPUs are designed to carry on serial tasks whereas GPUs can process in ...