MEDUSA--A Simulator for Modular Circuits

Engl, W.L.; Laur, R.; Dirks, H.K.

doi:10.1109/tcad.1982.1269998

Cited by 92 publications

(10 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A multi-level direct linear solver (block Gauss solver) is not included in the figure, since it can be seen as a special case of the multi-level Newton solver. Furthermore, modifications of the Newton method in the standard solver -as are described in [59,60] -are not included due to space limitations. The right five columns (ITA, WR, WRN, PWL and Exp.…”

Section: Classification Of Existing Methodsmentioning

confidence: 99%

Modelling and Discretization of Circuit Problems

Günther

Feldmann

Maten

2005

Handbook of Numerical Analysis

View full text Add to dashboard Cite

Section: Classification Of Existing Methodsmentioning

confidence: 99%

Modelling and Discretization of Circuit Problems

Günther

Feldmann

Maten

2005

Handbook of Numerical Analysis

View full text Add to dashboard Cite

“…Since the development of the coupled device/circuit simulators MEDUSA [5] and CODECS [10], there is a long tradition in coupling two domains in one code. At present there are powerful commercial tools like the platforms MEDICI (Synopsys Inc.) and ATLAS (Silvaco International) for coupled device/circuit simulation in use.…”

Section: State Of the Artmentioning

confidence: 99%

The COMSON Project

Günther

Feldmann²

2015

Mathematics in Industry

View full text Add to dashboard Cite

This chapter serves as an introduction into the outcome of the COMSON project, and links the subsequent chapters to the overall idea of COMSON and its objectives. We start with a discussion of the state-of-the-art and open problems in nanoelectronics simulation at the timepoint when the COMSON Project was started. Therefrom the main scientific objectives of the COMSON project are derived. Special attention is devoted to a uniform methodology for both testing the new achievements and simultaneously educating young researchers: All mathematical codes are linked into a new Demonstrator Platform (Chap. 8), which itself is embedded into an E-Learning environment (Chap. 9). Subsequently the scientific objectives are shortly reviewed. They comprise: (i) Development of new coupled mathematical models, capturing the mutual interactions between the physical domains of interest in nanoelectronis. These are based on the PDAE approach (Chap. 2). (ii) Investigation of numerical methods to simulate these models. Our focus is on dynamic iteration schemes (Chap. 3) and for efficiency on MOR techniques (Chaps. 4-6). (iii) Usage of models and simulation tools for optimal design of nanoelectronic circuits by means of multi-objective optimisation in a compound design space (Chap. 7). Trends in MicroelectronicsThe design of complex integrated circuits ICs requires adequate simulation and optimisation tools. The current design approach involves simulations and optimisations in different physical domains (device, circuit, thermal, electromagnetic) as well as in electrical engineering disciplines (logic, timing, power, crosstalk, signal M. Günther ( ) Chair

show abstract

“…MEDUSA [5] is a user-oriented, mixed-mode, device-circuit simulator for the physical simulation of devices embedded in a circuit environment. Thus the influence of doping levels and geometry can be investigated, not only for single devices, but for subcircuits like inverters and memory cells.…”

Section: The Device-circuit Simulator Medusamentioning

confidence: 99%

Technology CAD for competitive products

Lloyd

Dirks

Prendergast

et al. 1990

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Self Cite

View full text Add to dashboard Cite

Recent trends in the integration of process, device and circuit modeling tools and the current rapid emergence of UNIX® based computing environments of networked workstations and compute engines makes possible user-friendly, taskbased CAD systems for technology optimization, characterization and cell design. The paper discusses these trends and identifies opportunities to leverage Technology CAD tools in the development of competitive technologies and products. i I:This paper describes how tools for technology CAD, in use at AT&T Bell Laboratories, arc integrated into a task-based system designed to meet the needs of IC technology development and circuit design for optimization, characterization, and verification. TCAD is the name given to this system and it is made up of state-of-the-art, user-friendly modeling tools. These tools include those for process, device and circuit simulation, parameter extraction and optimization.The TCAD environment is UNIX. The highest level of TCAD is a user interface program, tcad, written in C and shell, tcad is easily ported across UNIX systems so the investment in development is protected and efforts are not duplicated. It monitors access and usage patterns, tracks tasks routinely performed, has electronic communication facilities between users and program developers and provides various levels of restricted-access for certain sensitive or beta-stage tools and technology files. Provision is made to capture input files to add to the regression data-base, or when tools terminate abnormally. TCAD tools can be used independently or coupled together to form tasks.The TCAD system is open to the integration of a variety of tools including exploratory products and the primary TCAD tools are accurate, flexible, robust and user-friendly. Some of these primary tools are described in the next section. The philosophy behind the TCAD architecture is outlined in the third section. Much of the power of TCAD comes from UNIX through networking and distributed computing. These features of UNIX and their impact on TCAD arc described in Section 4. Several examples of TCAD tasks and concluding remarks are given in the fifth and sixth sections, respectively. The Building Blocks for TCADTCAD leverages current predictive tools for process to cell level design. Some of these tools are described below including the process simulator BICEPS-5.0, the device simulator MEDUSA, the statistical process/device simulator FABRICS, the parameter extractor ARTHUR, the circuit simulator ADVICE and the optimizer CENTER. The Process Simulator BICEPS-5.0BICEPS-5.0 is a modular two-dimensional process simulator that retains the coordinate transformation philosophy of the original code [4]. It contains models for ion implantation, predeposition, drive-in in inert and oxidizing ambients, epitaxy, etching and deposition. The diffusion equation is solved using finite differences. Improvements over the original code include new physical models, an improved user interface, a new graphic package and new numerical methods.The i...

show abstract

MEDUSA--A Simulator for Modular Circuits

Cited by 92 publications

References 2 publications

Modelling and Discretization of Circuit Problems

Modelling and Discretization of Circuit Problems

The COMSON Project

Technology CAD for competitive products

Contact Info

Product

Resources

About