Not every developer who might like to learn CUDA has access to an NVIDIA GPU, so by expanding the hardware that CUDA can target to include x86, you'll be able to get your feet wet with CUDA on ...

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 ...

To that end, the CUDA architecture is designed to work with programming languages such as C, C++, and Fortran, making it easier for parallel programmers to use GPU resources.

This project reinforces the acquisition of basic GPU/CUDA programming skills, the software interface, and the basic architecture of the device. Tiled matrix multiplication. This lab focuses on data ...

Today NVIDIA released Cuda 9.2, which includes updates to libraries, a new library for accelerating custom linear-algebra algorithms, and lower kernel launch latency. "CUDA 9 is the most powerful ...

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 ...

Huawei has announced plans to make its CANN software toolkit for Ascend AI GPUs open source, a move aimed squarely at challenging Nvidia’s long-standing CUDA dominance. CUDA, often described as a ...

NVIDIA has revealed the GB300 Blackwell Ultra, a massive step forward in its AI accelerator lineup. This chip builds on the ...

Harlan is largely developed to tap the potential of modern graphics processors. Harlan tries to make the task easier and more productive with the use of OpenCL or CUDA.