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Moshe Meyassed

dblp:46/3703 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none

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

Systems, architecture and hardware · 3 · 1 first-authorSoftware engineering, systems software and programming languages · 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
2 papers
Electronic design automation · 51% Performance modeling and evaluation · 24% Integrated circuit design · 24%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › hardware simulation
multilevel simulation
0.011999
Resolving unknown inputs in mixed-level simulation with sequential elements · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1999
Integrated circuit design
digital system design
0.011997
An Integrated Design Environment for Performance and Dependability Analysis · DAC 1997
Electronic design automation › hardware/software co-design
co-simulation
0.011999
Resolving unknown inputs in mixed-level simulation with sequential elements · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1999
Electronic design automation
hardware verification and test
0.011999
Resolving unknown inputs in mixed-level simulation with sequential elements · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1999

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

mixed-level modeling · 0.0schematic capture · 0.0VHDL · 0.0EDIF · 0.0
YearPublicationVenuePosition
2001 Interfaces for mixed-level simulation with sequential elements
Robert H. Klenke, James H. Aylor, Moshe Meyassed, William W. Dungan
J. Syst. Archit.3
1999 Resolving unknown inputs in mixed-level simulation with sequential elements
abstract
It is well known that techniques such as performance modeling that can effectively evaluate design alternatives early in the design process can greatly increase the quality of the ultimate implementation, while at the same time, decrease the design time. In order to gain the maximum benefit from performance modeling, it must be integrated into the design process such that the performance model can be directly refined into an implementation. This paper presents techniques for developing interfaces between abstract performance models and detailed behavioral models to enable this refinement process. These mixed-level modeling interfaces, as they are called, allow abstract performance models to be cosimulated with detailed behavioral models. Because of the differences in the level of detail between abstract performance models and detailed behavioral models, not all of the inputs to the behavioral model can be derived from information in the performance model. Techniques for determining values for these "unknown" inputs are presented, These techniques have been designed to generate bounds on the system performance that converge as the model is refined.
Moshe Meyassed, Robert H. Klenke, James H. Aylor
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1
1997 An Integrated Design Environment for Performance and Dependability Analysis
abstract
This paper presents an integrated design environment thatsupports the design and analysis of digital systems from initialconcept to the final implementation. The environment supports bothsystem level performance and dependability analysis from acommon modeling representation. A tool called ADEPT (AdvancedDesign Environment Prototype Tool) has been developed toimplement the environment. ADEPT is based on IEEE 1076 VHDLand uses commercial schematic capture systems as a front end viaan EDIF interface. Several examples are presented whichdemonstrate various aspects of the environment.
Robert H. Klenke, Moshe Meyassed, James H. Aylor, Barry W. Johnson, Ramesh Rao, Anup Ghosh
DAC2
1995 Refinement of system-level designs using hybrid modeling
abstract
The design of complex systems requires an enormous amount of modeling and simulation at the various levels of detail to assure high quality results. Most design methodologies require the use of separate modeling languages and simulation environments for each refinement step and simulation technique. Since one of the major goals of design is to reduce the time to market for a given system, the current approaches are becoming unacceptable. A new unified modeling (UM) methodology is under development at the University of Virginia which provides a top-down/bottom-up design methodology based on a single modeling environment. This single environment methodology is made possible through a technique known as hybrid modeling, which enable the simulation and analysis of behavioral components within a system-level model. By simulating behavioral components along with components at the system modeling level, high risk portions of the design can be examined at earlier stages in a given product's development; thus reducing the time to market. The paper examines the hybrid modeling techniques which make this multi-level modeling possible.
Robert M. McGraw, Moshe Meyassed, Robert H. Klenke, James H. Aylor, Ronald D. Williams
ICECCS2