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 has released a public beta of CUDA 1.1, an update to the company's C-compiler and SDK for developing multi-core and parallel processing applications on GPUs, specifically Nvidia's 8-series GPUs ...

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 ...

Nvidia has released a public beta of CUDA 1.1, an update to the company's C-compiler and software development kit. CUDA stands for "Compute Unified Device Architecture." It's used for developing ...

The authors do a good job explaining Tesla and CUDA, and as a beginning text this book has a significant advantage that beginning texts written for MPI, OpenMP, and so on don’t have: there are 200 ...

Getting started with parallel programming is easier than ever. In fact, now you can develop right on your Macbook Pro using its built-in Nvidia GeForce GPU. Over at QuantStart, Valerio Restocchi has ...

As part of the CUDA Toolkit, version 4.1, Nvidia has also released a GPU code optimization tool to visually guide developers through the CUDA programming process.

This project implements and compares sequential and CUDA-based parallel K-means clustering algorithms to evaluate performance improvements from GPU acceleration. Initialize k centroids randomly.

In addition to the new features, the CUDA 6 platform offers a full suite of programming tools, GPU-accelerated math libraries, documentation and programming guides. Version 6 of the CUDA Toolkit is ...

COMP_ENG 368, 468: Programming Massively Parallel Processors with CUDA VIEW ALL COURSE TIMES AND SESSIONS Prerequisites COMP_SCI 213, graduate standing, or consent of instructor Description A hands-on ...