NVIDIA has announced that it is porting its popular GPU programming architecture to x86. Once the port is complete, developers will be able to choose from two different architectures—OpenCL and ...

AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

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 OpenCL ...

Graphics processing units (GPUs) are traditionally designed to handle graphics computational tasks, such as image and video processing and rendering, 2D and 3D graphics, vectoring, and more.

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 ...

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 ...

Après deux ans de développement et de discussions, AMD a décidé qu'il n'y avait aucun potentiel de rentabilisation pour exécuter des applications CUDA sur des GPU AMD. Nvidia a su s'imposer depuis une ...

Wolfram Research (http://www.wolfram.com) has announced a technical collaboration with NVidia (http://www.nvidia.com) to integrate GPU acceleration into Mathematica 8 ...

Quelques résultats de l’iGPU d’un Core i7-8700K sur Geekbench 5 avec ZLUDA. La technologie CUDA (Compute Unified Device Architecture), introduite en 2007, avait déjà servi de source d’inspiration à ...

The forthcoming IBM iDataPlex dx360 M3 systems will be equipped with a pair of Nvidia’s Tesla M2050 GPUs to go along with a dual-CPU configuration, according to Sumit Gupta, senior manager of ...