The Fast Fourier Transform is one of the most important algorithms in scientific computing, used in signal processing, image compression, wireless communications, and machine learning. This ...
SAN JOSE, CA--(Marketwire - Mar 18, 2013) - GTC 2013-- The growing ranks of programmers using the Python open-source language can now take full advantage of GPU acceleration for their high performance ...
Think DSP is an introduction to Digital Signal Processing in Python, now with GPU acceleration using NVIDIA CUDA, CuPy, and cuSignal. Order Think DSP from Amazon.com. The premise of this book (and the ...
An end-to-end data science ecosystem, open source RAPIDS gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware Building machine learning models is a repetitive process.
In this video from the NVIDIA GPU Technology Conference, Axel Koehler presents: Inside the Volta GPU Architecture and CUDA 9. “This presentation will give an overview about the new NVIDIA Volta GPU ...
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 ...
PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business of ...
The word supercomputer gets thrown around quite a bit. The original Cray-1, for example, operated at about 150 MIPS and had about eight megabytes of memory. A modern Intel i7 CPU can hit almost ...
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