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Papers

DSM-Directed Chip Design and Verification

DSM-Directed Chip Design and Verification

Year: 2010

Section: Industry Applications

Editor: Wynn, D.C.; Kreimeyer, M.; Eben, K.; Maurer, M.; Lindemann, U.; Clarkson, P.J.

Author: Minogue, P.

Section: Industry Applications

Pages: 447-460

Abstract

The current approach to integrated circuit (I.C.), or chip, design is not always optimum in terms of “Design-for-Layout”. Ideally, it is good practice to create the design schematics and layout so that a one-to-one correspondence exists at all levels of the schematic/layout hierarchy. Instead, the current approach can be somewhat adhoc and therefore prone to non-optimum schematic/layout hierarchy creation, resulting in inefficient development execution. In addition, the current approach is limited in that it typically does not try to systematically optimise the project (sub-)team members’ participation in terms of sub-block interface design and verification. This can result in simulation blindspots or omissions.
We can use the Design Structure Matrix (DSM) and Domain Mapping Matrices (DMM), in a Multi Domain Mapping (MDM) methodology, to (i) ensure optimised schematic/layout hierarchy creation and (ii) determine a more optimum configuration of (sub-)team members and design/verification tasks, in a visually powerful way. DSM-directed chip design and verification should be more efficient and of higher quality, as a consequence.
The DSM has been applied to chip development in the past in the context of activity- or task-based DSMs, using sequencing techniques. The application suggested here involves component- and team-based DSMs, using clustering techniques.

Keywords: integrated Circuit, Design, Verification, DSM, DMM, MDM, Virtual Clustering, Degree of Diagonality

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ds endorsed conferenceDSM 2010 - 12th International DSM Conference

Dependency and Structure Modeling (DSM) originates from the methods that have come about from using the Design Structure Matrix and similar methods (matrix-based as well as graph based). These methods have proven very valuable in designing complex systems, optimizing technical systems and product architectures and organizations, densely networked processes and large market structures. With its ability to manage complexity by looking into the structure of a system, it has led to many other advances...

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