This is a practical CUDA programming tutorial designed to help readers master the basic concepts and common operations of CUDA parallel computing through hands-on exercises. The content covers ...

Convolutional Neural Networks (CNNs) have revolutionized computer vision. They power face recognition on your phone, object detection in self-driving cars, and medical image analysis. But CNNs are ...

This is a sixth tutorial (#Madhav_Gumma_Tutorials) in my tutorial series on pipelining inputs on a single thread using CUDA Streams. This technique, known as pipelining, uses "ping-pong" buffering to ...

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 processing ...

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After teaching CUDA and GPU programming for nine years, I left the university. Still, I think knowing CUDA can be an important and outstanding skill especially nowadays, so I've started writing a ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

A team at Stanford has shown that large language models can automatically generate highly efficient GPU kernels, sometimes outperforming the standard functions found in the popular machine learning ...

NVIDIA's new CUDA Tile IR backend for OpenAI Triton enables Python developers to access Tensor Core performance without CUDA expertise. Requires Blackwell GPUs. NVIDIA has released Triton-to-TileIR, a ...