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W. W. Lee

dblp:31/4711 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · unresolved

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

Systems, architecture and hardware · 2 · 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
1 paper
High-performance computing · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › large-scale simulation
fusion plasma simulation
0.112006
Fusion - Kinetic simulation of fusion plasmas · SC 2006
High-performance computing
gyrokinetic simulation
0.112006
Fusion - Kinetic simulation of fusion plasmas · SC 2006
High-performance computing › supercomputing
petascale computing
0.012006
Fusion - Kinetic simulation of fusion plasmas · SC 2006

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

particle-in-cell · 0.1gyrokinetic simulation · 0.1
YearPublicationVenuePosition
2006 Fusion - Kinetic simulation of fusion plasmas
abstract
Kinetic simulation of plasmas based on the Particle-in-Cell (PIC) method, which began in the late sixties, has been further improved in recent years for the purpose of studying fusion plasmas. The new methodology called gyrokinetic particle simulation, which gives rise to orders of magnitude improvement in terms of the spatial/temporal-scale requirements for the simulation plasma, has proven to be very adaptable to the modern-day supercomputer architecture for studying magnetic fusion physics. For the present talk, we will describe our experience in using the leadership computing facilities for fusion science discovery and the plans for the future, i.e., petascale computing for the international burning plasma experiments, ITER. We will also discuss the issues such as code performance, data management, and visualization. The collaboration with the applied mathematics community for the improvement of the performance of the Poisson solver is also an important topic to be addressed.
W. W. Lee
SC1
2001 Gyrokinetic Simulations of Plasma Turbulence on Massively Parallel Computers
J. L. V. Lewandowski, W. W. Lee, Z. Lin
HiPC2