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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

For the parallel computation of partial differential equations, one key isthe grid partitioning. It requires that each process owns the same amount ofcomputations, and also, the partitioning quality should be proper to reduce thecommunications among processes. When calculating the partial differentialequations using adaptive finite element methods, the grid and the basisfunctions adjust in each iteration, which introduce load balancing issues. Thegrid should be redistributed dynamically. This paper studies dynamic loadbalancing algorithms and the implementation on the adaptive finite elementplatform PHG. The numerical experiments show that algorithms studied in thispaper have good partitioning quality, and they are efficient.

Dynamic load balancing for large-scale adaptive finite element computation