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Anna Newman

dblp:88/6319 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—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 · 100%

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

TopicWeightPapersLastEvidence papers
Electronic design automation › hardware verification and test
functional verification
0.112008
Verifying really complex systems: on earth and beyond · DAC 2008
Electronic design automation › hardware verification and test
hardware verification
0.112008
Verifying really complex systems: on earth and beyond · DAC 2008
Electronic design automation › hardware verification and test › hardware verification
complex system verification
0.012008
Verifying really complex systems: on earth and beyond · DAC 2008
YearPublicationVenuePosition
2008 Verifying really complex systems: on earth and beyond
abstract
Functional verification is a major part of the effort to design electronic systems. Over the years, EDA has developed a suite of tools and methods to address the verification challenges by a patchwork of approaches. However, as the system complexity continues to increase, traditional methods may not be adequate to ensure flawless behavior. In this educational panel, we will explore how complex systems are validated in other areas. Four speakers will cover the verification challenges in airplane design, complex Mars exploration missions, modeling and rendering of movie animations, and the design of continent-wide national power grids. Using real-life examples, each speaker will introduce the general topic, outline the specific verification challenges, and discuss how they are approached in their specific domain. The following discussion will analyze commonalities and differences between the areas and explore lessons to be learned from them for EDA.
Andreas Kuehlmann, Anjan Bose, David E. Corman, Rob A. Rutenbar, Robert M. Manning, Anna Newman
DAC6