We present a work-in-progress snapshot of learning with a 15 billion parameter deep learning network on HPC architectures applied to the largest publicly available natural image and video dataset released to-date. Recent advancements in unsupervised deep neural networks suggest that scaling up such networks in both model and training dataset size can yield significant improvements in the learning of concepts at the highest layers.
This page lists available online tutorials related to parallel programming and using LC's HPC systems.
Hopper is a powerful interactive tool that allows users to graphically move, copy, find, delete, and otherwise operate on files. Users can connect to and manipulate resources using ftp, ssh, sftp, htar, Endeavor (nft), and other protocols.