Companion data for Asynchronous multi-phase task-based applications: Employing different nodes to design better distributions
Leandro Nesi, Lucas; Legrand, Arnaud; Mello Schnorr, Lucas;
Companion data for Asynchronous multi-phase task-based applications: Employing different nodes to design better distributions
This is the companion data for the paper "Asynchronous multi-phase task-based applications: Employing different nodes to design better distributions", by Lucas Leandro Nesi, Arnaud Legrand, and Lucas Mello Schnorr, published at Future Generation Computer Systems, check the main companion at: https://gitlab.com/lnesi/companion-fgcs .
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average