Publication detail

Evolutionary-Based Conflict-Free Scheduling of Collective Communications on Spidergon NoCs

JAROŠ, J. DVOŘÁK, V.

Original Title

Evolutionary-Based Conflict-Free Scheduling of Collective Communications on Spidergon NoCs

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Collective communications, communication scheduling, evolutio-nary design, Spidergon, fat topologies, wormhole switching.

Authors

JAROŠ, J.; DVOŘÁK, V.

RIV year

2010

Released

27. 8. 2010

Publisher

Association for Computing Machinery

Location

New York

ISBN

978-1-4503-0072-8

Book

Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10

Pages from

1171

Pages to

1178

Pages count

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/"
}

Documents

Final_CR1_GECCO_2010.pdf