English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In this paperwe presenta family of multi-objective hypergraphpartitioningalgorithmsbasedon the multilevel paradigm,which arecapableof producingsolutionsin which both the cutandthemaximumsubdomaindegreeare simultaneouslyminimized.Thistypeof partitioningsarecritical for existingandemergingapplicationsin VLSI CAD asthey allow to bothminimizeandevenly distribute theinterconnectsacrossthephysicaldevices.Our experimental evaluationon theISPD98benchmarkshow thatour algorithmsproducesolutionsthatwhencomparedagainstthose producedby hMETIS have amaximumsubdomaindegreethat is reducedby up to 36% while achieving comparable quality in termsof cut.

Multi.Objective Hypergraph Partitioning Algorithms for Cut and Maximum Subdomain Degree Minimization