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Sy Yuan

dblp:15/5875 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none

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

Systems, architecture and hardware · 2

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 · 44% High-performance computing · 44% Processor architecture and microarchitecture · 13%
Theoretical computer science
1 paper
Combinatorics and discrete mathematics · 100%

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

TopicWeightPapersLastEvidence papers
High-performance computing › numerical linear algebra
matrix multiplication		 0.011992
Some Combinatorial Aspects of Parallel Algorithm Design for Matrix Multiplication · IEEE Trans. Computers 1992
Parallel and multicore computing › parallel algorithms
parallel algorithm design		 0.011992
Some Combinatorial Aspects of Parallel Algorithm Design for Matrix Multiplication · IEEE Trans. Computers 1992
Processor architecture and microarchitecture › parallel computer organization
systolic array design		 0.011992
Some Combinatorial Aspects of Parallel Algorithm Design for Matrix Multiplication · IEEE Trans. Computers 1992
Combinatorics and discrete mathematics › combinatorial design
latin squares		 0.011992
Some Combinatorial Aspects of Parallel Algorithm Design for Matrix Multiplication · IEEE Trans. Computers 1992

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

combinatorial design · 0.0
YearPublicationVenuePosition
1992 Some Combinatorial Aspects of Parallel Algorithm Design for Matrix Multiplication
abstract
Some combinatorial characteristics of matrix multiplication on regular two-dimensional arrays are studied. From the studies, the authors are able to design many efficient varieties of the cylindrical array and the two-layered mesh array for matrix multiplication. To design a cylindrical array for matrix multiplication, a systematic design procedure is proposed. In this design procedure, Latin square (a special type of matrix) plays an important role. To design a two-layered mesh array, it is found that there is a transformation procedure to transform a cylindrical array to a two-layered mesh array.>
Jong-Chuang Tsay, Sy Yuan
 IEEE Trans. Computers2
1990 Systolic Flow
Jong-Chuang Tsay, Sy Yuan
 J. Parallel Distributed Comput.2