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Curtis L. Janssen

dblp:57/4843 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2011
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering › computational chemistry
quantum chemistry
0.112006
Poster reception - Component architectures for quantum chemistry: forging new capabilities and insights · SC 2006
Parallel and multicore computing › parallelization strategies
multi-level parallelism
0.012006
Poster reception - Component architectures for quantum chemistry: forging new capabilities and insights · SC 2006
Parallel and multicore computing
parallel programming models
0.012006
Poster reception - Component architectures for quantum chemistry: forging new capabilities and insights · SC 2006

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

common component architecture · 0.1
YearPublicationVenuePosition
2011 Evaluating Performance Optimizations of Large-scale Genomic Sequence Search Applications using SST/macro
Tae-Hyuk Ahn, Damian Dechev, Heshan Lin, Helgi Adalsteinsson, Curtis L. Janssen
SIMULTECH5
2006 Poster reception - Component architectures for quantum chemistry: forging new capabilities and insights
abstract
We review the use of the Common Component Architecture approach within the quantum chemistry domain to tackle the software engineering challenges which arise as advanced algorithms are adopted and growing numbers of software packages are integrated to study complex, coupled physical phenomena. The development of common interfaces has allowed the adoption of advanced optimization solvers and high-level interchangeability of quantum chemistry packages. Components have been created which manage multiple levels of parallelism, providing much more efficient usage of parallel machines. Early efforts towards low-level integration of chemistry packages are examined. The ability to share intermediate data expands the capabilities available to any one software package, thereby enabling the rapid development of advanced methods. New methods for the study of reactions involving heavy elements, which depend on our component environment, are highlighted.
Joseph P. Kenny, Curtis L. Janssen, Ida M. B. Nielsen, Manojkumar Krishnan, Vidhya Gurumoorthi, Edward F. Valeev, Theresa L. Windus
SC2