Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
JAROŠ, J. DVOŘÁK, V.
Originální název
Evolutionary-Based Conflict-Free Scheduling of Collective Communications on Spidergon NoCs
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The Spidergon interconnection network has become popular recently in multiprocessor systems on chips. To the best of our knowledge, algorithms for collective communications (CC) have not been discussed in the literature as yet, contrary to pair-wise routing algorithms. The paper investigates complexity of CCs in terms of lower bounds on the number of communication steps at conflict-free scheduling. The considered networks on chip make use of wormhole switching, full duplex links and all-port non-combining nodes. A search for conflict-free scheduling of CCs has been done by means of evolutionary algorithms and the resulting numbers of communication steps have been summarized and compared to lower bounds. Time performance of CCs can be evaluated from the obtained number of steps, the given start-up time and link bandwidth. Performance prediction of applications with CCs among computing nodes of the Spidergon network is thus possible.
Klíčová slova
Collective communications, communication scheduling, evolutio-nary design, Spidergon, fat topologies, wormhole switching.
Autoři
JAROŠ, J.; DVOŘÁK, V.
Rok RIV
2010
Vydáno
27. 8. 2010
Nakladatel
Association for Computing Machinery
Místo
New York
ISBN
978-1-4503-0072-8
Kniha
Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10
Strany od
1171
Strany do
1178
Strany počet
8
URL
https://www.fit.vut.cz/research/publication/9252/
BibTex
@inproceedings{BUT34825, author="Jiří {Jaroš} and Václav {Dvořák}", title="Evolutionary-Based Conflict-Free Scheduling of Collective Communications on Spidergon NoCs", booktitle="Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10", year="2010", pages="1171--1178", publisher="Association for Computing Machinery", address="New York", doi="10.1145/1830483.1830698", isbn="978-1-4503-0072-8", url="https://www.fit.vut.cz/research/publication/9252/" }