Karthikeyan Muthamizh Vithagan

dblp:348/0203 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0001-8015-6272ORCID · reported

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

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

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 · 50% Energy-efficient computing · 44% Embedded and real-time systems · 6%

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

TopicWeightPapersLastEvidence papers
Electronic design automation › logic synthesis
circuit optimization
0.712023
Geometric Programming Approach to Glitch Minimization via Gate Sizing · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023
Electronic design automation › physical design
gate sizing
0.712023
Geometric Programming Approach to Glitch Minimization via Gate Sizing · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023
Energy-efficient computing › dynamic power reduction
glitch reduction
0.712023
Geometric Programming Approach to Glitch Minimization via Gate Sizing · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023
Energy-efficient computing
low-power design
0.712023
Geometric Programming Approach to Glitch Minimization via Gate Sizing · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023
Electronic design automation
timing analysis
0.212023
Geometric Programming Approach to Glitch Minimization via Gate Sizing · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023
Embedded and real-time systems
timing constraints
0.212023
Geometric Programming Approach to Glitch Minimization via Gate Sizing · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023

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

posynomial formulation · 0.7geometric programming · 0.7
YearPublicationVenuePosition
2023 Geometric Programming Approach to Glitch Minimization via Gate Sizing
abstract
The problem of gate sizing to meet timing specification while minimizing functional power/area is well understood and is solved by the use of geometric programs (GPs). While these area minimization GP (AM-GP) formulations minimize functional power, they do not address the problem of glitches. Glitches are extraneous transitions caused by signal arrival time imbalance at the input nodes of logic gates. A gate sizing algorithm, area-glitch minimization GP (AGM-GP), is proposed to reduce glitches while constraining area and adhering to a timing specification. Glitch reduction is achieved through signal arrival time balancing posed as posynomials in a GP formulation. Prior art does not exploit the complete power of gate sizing when reducing glitches in an attempt to meet the timing specification. In particular, the proposed formulation allows both upsizing and downsizing without causing any timing violation, at the expense of a marginal increase in area. Traditional downsizing methods can be used to further reduce glitches over and above the AGM-GP solution. Simulation results on the ISCAS-85 benchmark circuits show an overall reduction of 20.4% glitch power and 9.5% total power which is, respectively, 13.8% and 3.9% better than just downsizing the AM-GP solution. This power reduction was achieved with an average area increase of 4.2%.
Karthikeyan Muthamizh Vithagan, Vignesh Sundaresha, Janakiraman Viraraghavan
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1