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 ...
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 ...
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 ...
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 ...
Programmer Bryan O'Sullivan has a great summary of NVIDIA's new CUDA technology. O'Sullivan actually sat down and did what few of us have done so far, and that's read all the way through NVIDIA's ...
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.
Wolfram Research (http://www.wolfram.com) has announced a technical collaboration with NVidia (http://www.nvidia.com) to integrate GPU acceleration into Mathematica 8 ...
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AMD tries to catch CUDA with performance-boosting ROCm 7 software
House of Zen promises 3.5x improvement in inference and 3x uplift in training perf over last-gen software AMD closed the performance gap with Nvidia's Blackwell accelerators with the launch of the ...
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