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J. Hutter

dblp:116/9747 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering › computational chemistry › electronic structure calculation
density functional theory
0.011996
Electronic Structure of Materials using Self-Interaction Corrected Density Functional Theory · SC 1996
Computational science and engineering › computational chemistry
electronic structure calculation
0.011996
Electronic Structure of Materials using Self-Interaction Corrected Density Functional Theory · SC 1996
Parallel and multicore computing › parallel computing
parallel scientific computing
0.011996
Electronic Structure of Materials using Self-Interaction Corrected Density Functional Theory · SC 1996
Parallel and multicore computing › parallel programming models
message passing
0.011996
Electronic Structure of Materials using Self-Interaction Corrected Density Functional Theory · SC 1996

Methods — techniques the papers use, named apart from their topics

self-interaction correction · 0.0message passing · 0.0
YearPublicationVenuePosition
1996 Electronic Structure of Materials using Self-Interaction Corrected Density Functional Theory
abstract
We have developed an highly efficient electronic structure code, for parallel computers using message passing. The algorithm takes advantage of the natural parallelism in quantum chemistry problems to obtain very high performance even on a large number of processors. Most of the terms which scale cubically with respect to the number of atoms have been eliminated allowing the treatment of very large systems. It uses one of the most precise versions of Density Functional Theory, namely Self-Interaction Corrected Density Functional Theory. On a 6 processor Silicon Graphics Symmetric Multiprocessor based on the MIPs R8000 microprocessor, we obtain a performance of 6.3 Gflops per million dollar.
Adolfy Hoisie, Stefan Goedecker, J. Hutter
SC3