Engineering Papers⌕ Search

DOE OSTI · code-33387

DiHydrogen

Abstract

DiHydrogen is the second version of the Hydrogen fork of the well-known distributed linear algebra library, Elemental. DiHydrogen is a GPU-accelerated distributed multilinear algebra interface with a particular emphasis on the needs of the scalable distributed deep learning training and inference. DiHydrogen is part of the Livermore Big Artificial Neural Network (LBANN) software stack.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Maruyama, Naoya, Essen, BrianVan, Dryden, NikoliJ, Benson, ThomasR, Moon, TimothyY, Oyama, Yosuke. 2020-12-16. DiHydrogen. https://doi.org/10.11578/dc.20200106.1

Cite the original work for its findings. Save a collection to share your selection of sources.