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Karim H. Tadros

dblp:12/5667 · DBLP profile ↗
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1ranked-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 · 1

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
Electronic design automation · 33% Parallel and multicore computing · 33% Performance modeling and evaluation · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation › numerical algorithms
finite difference time domain
0.011991
Massively parallel algorithms for scattering in optical lithography · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1991
Parallel and multicore computing › parallel algorithms
massively parallel algorithms
0.011991
Massively parallel algorithms for scattering in optical lithography · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1991

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

time-domain finite-difference method · 0.0electromagnetic scattering simulation · 0.0
YearPublicationVenuePosition
1991 Massively parallel algorithms for scattering in optical lithography
abstract
A novel massively parallel technique for rigorous simulation of topography scattering in optical lithography has been developed and tested. The method is equivalent to the time-domain finite-difference method (TDFDM) used in electromagnetic scattering simulations, but exploits the parallel nature of wave propagation and the power of recent massively parallel architectures such as the Connection Machine. A working code called TEMPEST has been implemented on a Connection Machine CM-2 having 1 to 32 K processors with up to 1 M virtual processors. Numerical accuracy comparable with that of other fully rigorous methods was achieved. A very significant finding was that the solution required constant time per iteration for problems ranging from a few thousand unknowns up to one million, provided the ratio between the problem size and the number of processors is kept constant. The suitability of TEMPEST for solving a large class of topography structures important in alignment, metrology, and lithography is illustrated by examples.>
Roberto Guerrieri, Karim H. Tadros, John K. Gamelin, Andrew R. Neureuther
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.2