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Sadik Ezer

dblp:26/360 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 first-author

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
coverage-driven verification
0.112005
Smart diagnostics for configurable processor verification · DAC 2005
Electronic design automation
hardware verification and test
0.112005
Smart diagnostics for configurable processor verification · DAC 2005
Electronic design automation › hardware verification and test
processor verification
0.112005
Smart diagnostics for configurable processor verification · DAC 2005

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

embedded test-bench control · 0.1dynamic self-checking · 0.1dynamic coverage analysis · 0.1
YearPublicationVenuePosition
2005 Smart diagnostics for configurable processor verification
abstract
This paper describes a novel technique called Embedded Test-bench Control (ETC), extensively used in the verification of Tensilica's latest configurable processor. Conventional simulation-based verification methodologies that employ assembly programs for testing cannot easily link the diagnostic program to the test-bench for interactive control, consequently resulting in weaker coverage. ETC links the diagnostic program execution and the test-bench functions, thereby increasing the flexibility and power of the diagnostics to create more complex corner cases in fewer simulation cycles and with smaller code size. This method also enables dynamic self-checking and dynamic coverage analysis by either passing or failing the diagnostic based on the coverage goal, or terminating runaway random diagnostics much earlier. The presented simulation results show that ETC augments verification in two major areas: the creation of more maintainable, efficient, and smart diagnostics, and the reduction of the regression time. Some of the techniques presented in this paper can apply to non-processor verification methodologies as well.
Sadik Ezer
DAC1