Architecture-Aware Algorithms for Scalable Performance and Resilience on Heterogeneous Architectures. Final Report
Abstract
With the coming end of Moore's law, it has become essential to develop new algorithms and techniques that can provide the performance needed by demanding computational science applications, especially those that are part of the DOE science mission. This work was part of a multi-institution, multi-investigator project that explored several approaches to develop algorithms that would be effective at the extreme scales and with the complex processor architectures that are expected at the end of this decade. The work by this group developed new performance models that have already helped guide the development of highly scalable versions of an algebraic multigrid solver, new programming approaches designed to support numerical algorithms on heterogeneous architectures, and a new, more scalable version of conjugate gradient, an important algorithm in the solution of very large linear systems of equations.
- Authors:
- Publication Date:
- Research Org.:
- Univ. of Illinois at Urbana-Champaign, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1134619
- Report Number(s):
- DOE-UIUC-SC0004131
- DOE Contract Number:
- SC0004131
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Gropp, William D. Architecture-Aware Algorithms for Scalable Performance and Resilience on Heterogeneous Architectures. Final Report. United States: N. p., 2014.
Web. doi:10.2172/1134619.
Gropp, William D. Architecture-Aware Algorithms for Scalable Performance and Resilience on Heterogeneous Architectures. Final Report. United States. https://doi.org/10.2172/1134619
Gropp, William D. 2014.
"Architecture-Aware Algorithms for Scalable Performance and Resilience on Heterogeneous Architectures. Final Report". United States. https://doi.org/10.2172/1134619. https://www.osti.gov/servlets/purl/1134619.
@article{osti_1134619,
title = {Architecture-Aware Algorithms for Scalable Performance and Resilience on Heterogeneous Architectures. Final Report},
author = {Gropp, William D.},
abstractNote = {With the coming end of Moore's law, it has become essential to develop new algorithms and techniques that can provide the performance needed by demanding computational science applications, especially those that are part of the DOE science mission. This work was part of a multi-institution, multi-investigator project that explored several approaches to develop algorithms that would be effective at the extreme scales and with the complex processor architectures that are expected at the end of this decade. The work by this group developed new performance models that have already helped guide the development of highly scalable versions of an algebraic multigrid solver, new programming approaches designed to support numerical algorithms on heterogeneous architectures, and a new, more scalable version of conjugate gradient, an important algorithm in the solution of very large linear systems of equations.},
doi = {10.2172/1134619},
url = {https://www.osti.gov/biblio/1134619},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jun 23 00:00:00 EDT 2014},
month = {Mon Jun 23 00:00:00 EDT 2014}
}