Work

The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques

Year: 2018

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-93698-7_45

Authors: Azzam Haidar, Ahmad Abdelfattah, Mawussi Zounon, Panruo Wu, Srikara Pranesh, Stanimire Tomov, Jack Dongarra

Institutions: University of Tennessee at Knoxville, University of Manchester, University of Houston, Oak Ridge National Laboratory

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: green

Funders: National Science Foundation, U.S. Department of Energy, Nvidia, Office of Science, National Nuclear Security Administration

Award: SI2:SSE: MAtrix, TEnsor, and Deep-Learning Optimized Routines (MATEDOR)

OpenAlex ID: W2808102735

FWCI: 6.94

Cites: 22

Cited by: 62

Related to: 10