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Honching Li

dblp:69/527 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1999
—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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › physical design
circuit clustering
0.011999
Simultaneous Circuit Partitioning/Clustering with Retiming for Performance Optimization · DAC 1999
Electronic design automation › physical design
circuit partitioning
0.011999
Simultaneous Circuit Partitioning/Clustering with Retiming for Performance Optimization · DAC 1999
Electronic design automation
logic synthesis
0.011999
Simultaneous Circuit Partitioning/Clustering with Retiming for Performance Optimization · DAC 1999
Electronic design automation › logic synthesis › sequential circuit optimization
retiming
0.011999
Simultaneous Circuit Partitioning/Clustering with Retiming for Performance Optimization · DAC 1999

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

clock period minimization · 0.0
YearPublicationVenuePosition
1999 Simultaneous Circuit Partitioning/Clustering with Retiming for Performance Optimization
abstract
Partitioning and clustering are crucial steps in circuit layout for handling large scale designs enabled by the deep submicron technologies.Retiming is an important sequential logic optimization technique for reducing the clock period by optimally repositioning flipflops [7].In our exploration of a logical and physical co-design flow, we developed a highly efficient algorithm on combining retiming with circuit partitioning or clustering for clock period minimization.Compared with the recent result by Pan et al. [lo] on quasioptimal clustering with retiming, our algorithm is able to reduce both runtime and memory requirement by one order of magnitude without losing quality.Our results show that our algorithm can be over 1000X faster for large designs.
Jason Cong, Honching Li
DAC2