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

Radix sort is an efficient method to sort integer keys on parallel computers. It is easy to parallelize and simple to implement. The main drawbacks of existing algorithms are load balancing problems and communication overhead. These problems are caused in data characteristics like data-skew and duplicates. There are several approaches how to parallelize the radix sort algorithm, which yield to reduce communication operations or to improve the load balance. If an algorithm has its focus on the optimization of the load balance then, its communication is inefficient. Otherwise, if the focus is on the communication minimization, then the algorithms are only efficient for well-distributed data. For the latter case, we will present an efficient improvement which helps to overcome the problems with unbalanced data characteristics. The suggested improvements are tested practically on a Linux-based SMP cluster.

Improving Communication Sensitive Parallel Radix Sort for Unbalanced Data