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Fongray Frank Young

dblp:86/496 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1994
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 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 · 67% Parallel and multicore computing · 33%
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
performance optimization at scale
0.011992
A Fully-Vectorized Code for Nonequilibrium RF Glow Discharge Modeling and its Parallel Processing on a Cray X-MP · SC 1992
High-performance computing
scientific computing systems
0.011992
A Fully-Vectorized Code for Nonequilibrium RF Glow Discharge Modeling and its Parallel Processing on a Cray X-MP · SC 1992
Parallel and multicore computing › parallelization strategies
vectorization and multitasking
0.011992
A Fully-Vectorized Code for Nonequilibrium RF Glow Discharge Modeling and its Parallel Processing on a Cray X-MP · SC 1992

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

vectorization · 0.0staggered-mesh method · 0.0flux corrected transport · 0.0
YearPublicationVenuePosition
1994 Using dipole receptive fields for the reconstruction of printed characters
Fongray Frank Young, Chwan-Hwa John Wu
Neurocomputing1
1992 A Fully-Vectorized Code for Nonequilibrium RF Glow Discharge Modeling and its Parallel Processing on a Cray X-MP
abstract
Nonequilibrium self-consistent RF discharge simulations which use a Cray X-MP/24 supercomputer to increase the computation rate are described. The fluid transport equations are solved by a more accurate flux corrected transport (MAFCT) algorithm. A staggered-mesh method is used for the arrangement of distribution functions. Vectorization and multitasking methods are used to optimize the computation time required by the simulation. Consequently, the simulation code is fully vectorized and the speedup ratio between the original code and the fully vectorized code approaches 11.7. Moreover, the multitasking has a speedup ratio of 1.988 on the two-processor Cray X-MP/24. The simulation results are compared with other model results to demonstrate the advantage of MAFCT. These results are also compared with experimental results. A better understanding of RF discharge mechanisms is accomplished through the use of a Cray X-MP supercomputer, which provides a solution within a reasonable amount of turnaround time.>
Fongray Frank Young, Chwan-Hwa John Wu
SC1