What is this book about? Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your ...

It compiles Python functions just in time into kernel code that runs on x86 CPUs and CUDA GPUs ... volumes for use in the GPU. In contrast to tensor-based programming, Warp offers implicit ...

Abstract: Python as programming ... CUDA applications still outperform the Numba versions. Further analysis with the CloverLeav Mini App shows that Numba performance further decreases for applications ...

This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised ... the Anaconda distribution of Python 3.8 instead of the Miniforge distribution, if you wish to. For NVIDIA GPU ...

The ideal candidate will possess strong C++ programming skills, a deep understanding of statistical modeling, and extensive hands-on experience with CUDA and XLA for GPU programming, with a focus ...

CUDA Cores shine the brightest when handling tasks that benefit from parallel computation. Tensor Cores use AI to upscale ...

Open source leaders highlight breakthroughs in projects like OpenTelemetry and discuss the open source community’s role in ...

See a robot hand learn human-like behavior in an unexpected way. Fareed Zakaria asks Bill Gates how damaging he thinks Trump’s tariffs are. Hear his response Warning for tourists heading to ...

This week’s RTX AI Garage shows how developers can extend Project G-Assist, NVIDIA’s experimental tool with custom features.

Want more charts like these? See our charts on the secrets of the jobless recovery, the richest 1 percent of Americans, and how the superwealthy beat the IRS. How Rich Are the Superrich? A huge sh ...