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Peter S. Lomdahl

dblp:36/1707 · DBLP profile ↗
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3ranked-venue papers
1as 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 · 3 · 1 first-author

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.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
High-performance computing · 95% Parallel and multicore computing · 5%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › scientific computing systems
molecular dynamics simulation
0.021996
Lightweight Computational Steering of Very Large Scale Molecular Dynamics Simulations · SC 1996
50 GFlops molecular dynamics on the Connection Machine 5 · SC 1993
High-performance computing
computational steering
0.011996
Lightweight Computational Steering of Very Large Scale Molecular Dynamics Simulations · SC 1996
High-performance computing
scientific computing systems
0.011996
Lightweight Computational Steering of Very Large Scale Molecular Dynamics Simulations · SC 1996
Visualization and visual analytics › scientific visualization
in-situ visualization
0.011996
Lightweight Computational Steering of Very Large Scale Molecular Dynamics Simulations · SC 1996
Parallel and multicore computing › multiprocessor system › MIMD multiprocessor
massively parallel MIMD
0.011993
50 GFlops molecular dynamics on the Connection Machine 5 · SC 1993

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

scripting language · 0.0extensible modules · 0.0parallel molecular dynamics · 0.0
YearPublicationVenuePosition
1996 Lightweight Computational Steering of Very Large Scale Molecular Dynamics Simulations
abstract
We present a computational steering approach for controlling, analyzing, and visualizing very large scale molecular dynamics simulations involving tens to hundreds of millions of atoms. Our approach relies on extensible scripting languages and an easy to use tool for building extensions and modules. The system is extremely easy to modify, works with existing C code, is memory efficient, and can be used from inexpensive workstations and networks. We demonstrate how we have used this system to manipulate data from production MD simulations involving as many as 104 million atoms running on the CM-5 and Cray T3D. We also show how this approach can be used to build systems that integrate common scripting languages (including Tcl/Tk, Perl, and Python), simulation code, user extensions, and commercial data analysis packages.
David M. Beazley, Peter S. Lomdahl
SC2
1994 Message-Passing Multi-Cell Molecular Dynamics on the Connection Machine 5
David M. Beazley, Peter S. Lomdahl
Parallel Comput.2
1993 50 GFlops molecular dynamics on the Connection Machine 5
abstract
We present timings and performance numbers for a new short range three dimensional (3D) molecular dynamics (MD) code, SPaSM, on the Connection Machine-5 (CM-5).We demonstrate that rurM with more than 108 particles are now possible on massively parallel MIMD computers.To the best of our knowledge this ti at least an opder of magnitade more particles than what has previously been reported.Typical production runs show sustained performance (including communication) in the range of 47-50 GFlops on a 1024 node CM-5 with vector units (VUS).The speed of the code scales linearly with the number of processors and with the number of particles and shows 95% parallel eficiency in the speedup.Passing Multi-Cell Molecular Dynamics on the Connection Machine 5, Parall.Comp. (1993) (in press).
Peter S. Lomdahl, Pablo Tamayo, Niels Grønbech-Jensen, David M. Beazley
SC1