In this video from 2018 Swiss HPC Conference, Torsten Hoefler from (ETH) Zürich presents: Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis. “Deep Neural Networks ...

Breakthrough in 'distributed deep learning' MACH slashes time and resources needed to train computers for product searches Date: December 9, 2019 ...

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 ...

On Oct. 16-17, some 60 Princeton graduate students and postdocs — along with a handful of undergraduates — explored the most widely used deep learning techniques for computer vision tasks and delved ...

ADELPHI, Md. -- A new algorithm is enabling deep learning that is more collaborative and communication-efficient than traditional methods. Army researchers developed algorithms that facilitate ...

For self-driving cars and other applications developed using AI, you need what’s known as “deep learning”, ... Gensyn applies a token to distributed computing for AI developers, raises $6.5M.

He has made deep and wide-ranging contributions to many areas of parallel computing including programming languages, compilers, and runtime systems for multicore, manycore and distributed computers.

This online research computing specialization introduces learners to the fundamentals of high performance and parallel computing and includes big data analysis, machine learning, parallel programming, ...