Work

Exascale Deep Learning for Climate Analytics

Year: 2018

Type: conference-paper

Source: International Conference for High Performance Computing, Networking, Storage and Analysis (SC)

DOI: 10.1109/sc.2018.00054

Authors: Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat Prabhat, Michael Houston

Institutions: Lawrence Berkeley National Laboratory, Nvidia (United States), Oak Ridge National Laboratory

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W2952046647

FWCI: 29.95

Cites: 27

Cited by: 297

Related to: 10