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P. Vignesh V. Ganesan

dblp:19/839 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2008
0009-0006-0118-6152ORCID · corroborated

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

Systems, architecture and hardware · 1Software 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
1 paper
Embedded and real-time systems · 50% Electronic design automation · 44% Parallel and multicore computing · 6%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › timing analysis
end-to-end latency analysis
0.112007
Performance Analysis of FlexRay-based ECU Networks · DAC 2007
Embedded and real-time systems › cyber-physical system platforms
in-vehicle networks
0.112007
Performance Analysis of FlexRay-based ECU Networks · DAC 2007
Embedded and real-time systems
real-time communication
0.112007
Performance Analysis of FlexRay-based ECU Networks · DAC 2007
Electronic design automation
timing analysis
0.112007
Performance Analysis of FlexRay-based ECU Networks · DAC 2007
Embedded and real-time systems › automotive embedded systems
electronic control unit
0.012007
Performance Analysis of FlexRay-based ECU Networks · DAC 2007
Parallel and multicore computing
task scheduling
0.012007
Performance Analysis of FlexRay-based ECU Networks · DAC 2007

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

compositional performance analysis · 0.1MATLAB · 0.1
YearPublicationVenuePosition
2008 A Dynamic Assertion-Based Verification Platform for Validation of UML Designs
Ansuman Banerjee, Sayak Ray, Pallab Dasgupta, P. P. Chakrabarti 0001, S. Ramesh 0002, P. Vignesh V. Ganesan
ATVA6
2007 Performance Analysis of FlexRay-based ECU Networks
abstract
It is now widely believed that FlexRay will emerge as the predominant protocol for in-vehicle automotive communication systems. As a result, there has been a lot of recent interest in timing and predictability analysis techniques that are specifically targeted towards FlexRay. In this paper we propose a compositional performance analysis framework for a network of electronic control units (ECUs) that communicate via a FlexRay bus. Given a specification of the tasks running on the different ECUs, the scheduling policy used at each ECU, and a specification of the FlexRay bus (e.g. slot sizes and message priorities), our framework can answer questions related to the maximum end-to-end delay experienced by any message, the amount of buffer required at each communication controller and the utilization of the different ECUs and the bus. In contrast to previous timing analysis techniques which analyze the FlexRay bus in isolation, our framework is fully compositional and allows the modeling of the schedulers at the ECUs and the FlexRay protocol in a seamless manner. As a result, it can be used to analyze large systems and does not involve any computationally expensive step like solving an ILP (which previous approaches require). We illustrate our framework using detailed examples and also present results from a Matlab-based implementation.
Andrei Hagiescu, Unmesh D. Bordoloi, Samarjit Chakraborty, Prahladavaradan Sampath, P. Vignesh V. Ganesan, S. Ramesh 0002
DAC5