Work

Communication quantization for data-parallel training of deep neural networks

Year: 2016

Type: conference-paper

Source: IEEE International Conference on High Performance Computing, Data, and Analytics

DOI: 10.5555/3018874.3018875

Authors: Nikoli Dryden, Sam Adé Jacobs, Tim Moon, Brian Van Essen

Institutions: Lawrence Livermore National Laboratory, University of Illinois Urbana-Champaign, Stanford University

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2563343794

FWCI: 9.155

Cites: 18

Cited by: 111

Related to: 10