Work

Predicting energy consumption relevant indicators of strong scaling HPC applications for different compute resource configurations

Year: 2015

Type: conference-paper

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

DOI: 10.5555/2872599.2872614

Authors: Hayk Shoukourian, Torsten Wilde, Axel Auweter, Arndt Bode, Daniele Tafani

Institutions: Bavarian Academy of Sciences and Humanities, Leibniz Supercomputing Centre, Technical University of Munich

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: closed

OpenAlex ID: W2296629286

FWCI: 0.95

Cites: 16

Cited by: 11

Related to: 10