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

English Title

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

Type

conference paper

Language

en

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.

English 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.

RIV year

2010

Released

09.07.2010

Publisher

Association for Computing Machinery

Location

New York

ISBN

978-1-4503-0072-8

Book

Proceedings of 2010 Genetic and Evolutionary Computation Conference

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

1171

Pages to

1178

Pages count

8

URL

BibTex


@inproceedings{BUT34825,
  author="Jiří {Jaroš} and Václav {Dvořák}",
  title="Evolutionary-Based Conflict-Free Scheduling of Collective Communications on Spidergon NoCs",
  annote="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.",
  address="Association for Computing Machinery",
  booktitle="Proceedings of 2010 Genetic and Evolutionary Computation Conference",
  chapter="34825",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Association for Computing Machinery",
  year="2010",
  month="july",
  pages="1171--1178",
  publisher="Association for Computing Machinery",
  type="conference paper"
}