z-logo
open-access-imgOpen Access
Exploiting system level heterogeneity to improve the performance of a GeoStatistics multi-phase task-based application
Author(s) -
Lucas Leandro Nesi,
Arnaud Legrand,
Lucas Mello Schnorr
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/3472456.3472516
Subject(s) - computer science , node (physics) , distributed computing , homogeneous , overhead (engineering) , scheduling (production processes) , task (project management) , block (permutation group theory) , set (abstract data type) , mathematical optimization , physics , geometry , mathematics , management , structural engineering , engineering , economics , thermodynamics , programming language , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom