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Niandong Fang

dblp:96/3004 · DBLP profile ↗
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2ranked-venue papers
2as 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 · 2 · 2 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
Parallel and multicore computing · 100%

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

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › parallel programming models › structured parallelism
algorithmic skeletons		 0.011996
Engineering Parallel Algorithms · HPDC 1996
Parallel and multicore computing
parallel programming models		 0.011996
Engineering Parallel Algorithms · HPDC 1996
Parallel and multicore computing › parallel algorithms
parallel algorithm design		 0.011996
Engineering Parallel Algorithms · HPDC 1996

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

skeleton-based refinement · 0.0MPI · 0.0
YearPublicationVenuePosition
1997 MPI-DDL: A distributed-data library for MPI
Niandong Fang, Helmar Burkhart
 Future Gener. Comput. Syst.1
1996 Engineering Parallel Algorithms
abstract
The rise of explicit parallel programming involves new problems: lack of structure for parallel algorithms and the ad hoc development of parallel algorithms. We use skeletons to characterize and design parallel algorithms and define a process to refine the designs step by step into programs. The paper introduces a high level library on top of MPI which is derived from the skeleton concept to achieve better programmability and obtain portability. We conclude with a CFD application to demonstrate our idea.
Niandong Fang
 HPDC1