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Qi-Ming Zhang

dblp:05/6981 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1991
—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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 77% Integrated circuit design · 23%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering › numerical linear algebra
linear equation solving
0.011991
A new preconditioner for CGS iteration in solving large sparse nonsymmetric linear equations in semiconductor device simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1991
Computational science and engineering › computational physics
semiconductor device simulation
0.011991
A new preconditioner for CGS iteration in solving large sparse nonsymmetric linear equations in semiconductor device simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1991
Mathematical optimization › numerical computation
iterative linear solver
0.011991
A new preconditioner for CGS iteration in solving large sparse nonsymmetric linear equations in semiconductor device simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1991
Electronic design automation › technology computer-aided design
device simulation
0.011989
Two-dimensional semiconductor device analysis based on new finite-element discretization employing the S-G scheme · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1989
Electronic design automation › technology computer-aided design › device simulation
numerical device simulation
0.011989
Two-dimensional semiconductor device analysis based on new finite-element discretization employing the S-G scheme · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1989
Integrated circuit design › analog and mixed-signal circuits
device modeling
0.011989
Two-dimensional semiconductor device analysis based on new finite-element discretization employing the S-G scheme · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1989
Integrated circuit design
semiconductor devices
0.011989
Two-dimensional semiconductor device analysis based on new finite-element discretization employing the S-G scheme · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1989

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

incomplete LU factorization by value · 0.0finite element simulation · 0.0ILUV-CGS · 0.0CGS iteration · 0.0scharfetter-gummel scheme · 0.0gaussian quadrature · 0.0finite element method · 0.0
YearPublicationVenuePosition
1991 A new preconditioner for CGS iteration in solving large sparse nonsymmetric linear equations in semiconductor device simulation
abstract
The authors present a new and efficient precondition method (ILUV-CGS), which is an incomplete LU (ILU) factorization by value instead of a sparse nonzero pattern, in conjunction with CGS iteration for solving nonsymmetric linear equations in finite-element simulation of semiconductor devices. To demonstrate the efficiency of this method, the simulations of a group of representative devices with different numerical characteristics have been carried out using the ILUV-CGS algorithm, and these are compared with those of the existing ILU-CGS method. The comparison results are in favor of using the ILUV=CGS method.>
Zhong-Yi Zhao, Qi-Ming Zhang, Gen-Lin Tan, J. M. (Jimmy) Xu
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.2
1989 Two-dimensional semiconductor device analysis based on new finite-element discretization employing the S-G scheme
abstract
To make the application of the finite-element method practical in semiconductor device simulation, the authors have applied the Scharfetter-Gummel (S-G) scheme in conjunction with an accurate seven-point Gaussian quadrature rule to the assembly of the finite-element stiffness matrices and the right-hand-side vector of the semiconductor equations. The key of this method lies in accurate interpolation rules, which are derived on the basis of simple device physics considerations. The inherent simplicity and flexibility in the finite element formulation make the new method applicable to multidimensional problems. The simplicity of embedding the S-G scheme in the quadrature of finite-element assembly lends itself to all kinds of finite-element methods using various elements, shape functions, and weightings. The resultant exponential functional fitting avoids high discretization errors usually incurred by the classical finite-element discretization method. Solutions with high accuracy, even on coarse mesh, and a significant speed-up of convergence rate are obtained.>
Gen-Lin Tan, Xiao-Li Yuan, Qi-Ming Zhang, Walter H. Ku, An-Jui Shey
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.3