In this video, Huihuo Zheng from Argonne National Laboratory presents: Data Parallel Deep Learning. The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two weeks of ...

That is where GPUs come in handy, as they can do parallel vector multiplications very fast. Depending on the deep learning architecture, data size, and task at hand, we sometimes require 1 GPU ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other ... model to extend C with data-parallel constructs.

Deep learning needs big data, and now we have it ... and that’s why GPUs have become the default hardware for training deep learning models. GPUs utilize parallel architecture. While a central ...

With deep learning neural networks, unstructured data can be understood and applied ... that normal machine learning models can’t do and parallel processing tasks. Through strategies like ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More “Deep learning” has become a hot topic in the general rush to ...

It involves training artificial neural networks to learn and make decisions from large amounts of data. Deep learning algorithms are modeled after the structure and function of the human brain ...