NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel ...

Learn GPU Programming With Simple Puzzles. 9 Comments . by: Dave Rowntree. September 25, ... Each essential concept for CUDA programming is identified one at a time with a real programming example ...

CUDA programming has been a valuable component in the Nvidia ecosystem since 2006 and is a linchpin in the company's AI ... Keep reading to see why and learn more about CUDA. Image source: Nvidia.

With the new versions of CUDA, there's some latency hiding that helps you out, but you still need to watch out for copying large amounts of data between the CPU and GPU memory in the middle of ...

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 ...

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.

Nvidia's PTX (Parallel Thread Execution) is an intermediate instruction set architecture designed by Nvidia for its GPUs. PTX sits between higher-level GPU programming languages (like CUDA C/C++ ...

Providing an open, cross-industry, standards-based, unified, multiarchitecture, multivendor programming model is the one approach that promises a viable CUDA alternative by eliminating those ...

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 ...

Graphics processing units from Nvidia are too hard to program, including with Nvidia's own programming tool, CUDA, according to artificial intelligence research firm OpenAI. The San Francisco ...