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J. N. Leboeuf

dblp:36/4542 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none

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

Systems, architecture and hardware · 3

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
3 papers
High-performance computing · 80% Parallel and multicore computing · 20%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing
scientific computing systems
0.031997
Numerical Tokamak Turbulence Calculations on the CRAY T3E · SC 1997
Multi-CPU plasma fluid turbulence calculations on a Cray Y-MP C90 · SC 1993
Performance of a Plasma Fluid Code on the Intel Parallel Computers · SC 1992
High-performance computing › performance optimization at scale
parallel scalability
0.031997
Numerical Tokamak Turbulence Calculations on the CRAY T3E · SC 1997
Performance of a Plasma Fluid Code on the Intel Parallel Computers · SC 1992
Multi-CPU plasma fluid turbulence calculations on a Cray Y-MP C90 · SC 1993
High-performance computing
performance optimization at scale
0.021997
Numerical Tokamak Turbulence Calculations on the CRAY T3E · SC 1997
Performance of a Plasma Fluid Code on the Intel Parallel Computers · SC 1992
Parallel and multicore computing
parallel programming models
0.021993
Multi-CPU plasma fluid turbulence calculations on a Cray Y-MP C90 · SC 1993
Performance of a Plasma Fluid Code on the Intel Parallel Computers · SC 1992
Parallel and multicore computing › parallel programming models › task parallelism
microtasking
0.011993
Multi-CPU plasma fluid turbulence calculations on a Cray Y-MP C90 · SC 1993
Computational science and engineering
plasma physics
0.011997
Numerical Tokamak Turbulence Calculations on the CRAY T3E · SC 1997

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

landau closure · 0.0distributed-memory parallelism · 0.0microtasking · 0.0parallel algorithm · 0.0
YearPublicationVenuePosition
1997 Numerical Tokamak Turbulence Calculations on the CRAY T3E
abstract
Full cross section calculations of ion-temperature-gradient-driven turbulence with Landau closure are being carried out as part of the Numerical Tokamak Turbulence Project, one of the U. S. Department of Energy's Phase II Grand Challenges. To include the full cross section of a magnetic fusion device like the tokamak requires more memory and CPU time than is available on the National Energy Research Scientific Computing Center's (NERSC's) shared-memory vector machines such as the CRAY C90 and J90. Calculations of cylindrical multihelicity ion-temperature-gradient-driven turbulence were completed on NERSC's 160-processor distributed-memory CRAY T3E parallel computer with 256 Mbytes of memory per processor. This augurs well for yet more memory and CPU intensive calculations on the next-generation T3E at NERSC. This paper presents results on benchmarks with the current T3E at NERSC. Physics results pertaining to plasma confinement at the core of tokamaks subject to ion-temperature-gradient-driven-turbulence are also highlighted. Results at this resolution covering this extent of physical time were previously unattainable. Work is in progress to increase the resolution, improve the performance of the parallel code, and include toroidal geometry in these calculations in anticipation of the imminent arrival of a fully configured, 512-processor, T3E-900 model.
Vickie E. Lynch, J. N. Leboeuf, Benjamin A. Carreras, J. Diego Alvarez, Luiz García Gonzalo
SC2
1993 Multi-CPU plasma fluid turbulence calculations on a Cray Y-MP C90
abstract
Significant improvements in real-time eficiency have been obtained for plasntajluid turbulence calculatwns by m"crotasking the nonlinear jlu"d co& KITE in which they are implemented on the CRAY Y-MP C90 at the National Energy Research Supercomputer Center (NERSC).The number of processors accessed concurrently scales linearly with problem size.Close to six concurrent processors have so far been obtained with a three-dimensional nonlinear production calculation at the currently allowed memory size of 80 Mword.With a calculation size corresponding to the maximum allowed memory of 200 Mword in the next system configuration, we expect to be able to access close to ten processors of the C90 concurrently with a commensurate improvement in realtime eficiency.These improvements in pe~ormance are comparable to those expected from a massively parallel implementation of the same calculations on the Intel Paragon.
Vickie E. Lynch, Benjamin A. Carreras, J. N. Leboeuf, Bruce C. Curtis, R. L. Troutman
SC3
1992 Performance of a Plasma Fluid Code on the Intel Parallel Computers
abstract
One approach to improving the real-time efficiency of plasma turbulence calculations is to use a parallel algorithm. A parallel algorithm for plasma turbulence calculations was tested on the Intel iPSC/860 hypercube and the Touchstone Delta machine. Using the 128 processors of the Intel iPSC/860 hypercube, a factor of 5 improvement over a single-processor CRAY-2 is obtained. For the Touchstone Delta machine, the corresponding improvement factor is 13. For plasma edge turbulence calculations, an extrapolation of the present results to the Intel sigma machine gives an improvement factor close to 64 over the single-processor CRAY-2.>
Vickie E. Lynch, Benjamin A. Carreras, John B. Drake, J. N. Leboeuf, P. Liewer
SC4