Components & Peripherals Nvidia Pushes Parallel Computing, Opens Up CUDA Programming Model By Kristin Bent December 13, 2011, 08:00 PM EST ...

In this Programming Throwdown podcast, Mark Harris from Nvidia describes Cuda programming for GPUs. "CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...

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 ...

With CUDA technology becoming a standard in the computing market, the CUDA Developer Conference is a must-attend event for university researchers and commercial software developers.

In addition, Nvidia announced that more than 20 universities around the world have adopted CUDA for multicore and parallel processing programming, with several more also exploring CUDA for inclusion ...

It already supported a number of programming languages such as C, Java, Fortran and Python, and the move to support OpenCL (open computing language), which is specifically designed for parallel ...

Some other learning tools for GPU programming we’ve seen in the past include this puzzle-based tool which illustrates some of the specific problems GPUs excel at.

In a move that shouldn't be that surprising, NVIDIA has announced that its popular CUDA platform is being ported to x86. The obvious angle here is that this will give NVIDIA a weapon against ...

Russell said CUDA 4.0 enables faster multi-GPU programming and application porting using unified virtual-addressing and C++ algorithms and data structures, which Nvidia calls Thrust.

Nvidia has hinted that it has a project in the works that will enable Nvidia's CUDA technology on AMD GPUs. At a recent roundtable event, Nvidia's chief scientist Bill Dally explained why a ...