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 ...

The trick is basically to make Parallel Distributed Computing for Dummies, if you will. A set of new functions have been added to Google's TensorFlow framework ... The lowdown on deep learning: ...

The basics of distributed computing. Any time a workload is distributed between two or more computing devices or machines connected by some type of network, that’s distributed computing. There are a ...

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.