Accelerating minimum spanning forest computations on multicore platforms

Guojing Cong, Ilie Tanase, Yinglong Xia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose new approaches for accelerating minimum spanning forest algorithms on shared-memory platforms. Our approaches improve cache performance and reduce synchronization overhead of the base algorithms. On our target platform these optimizations achieve up to an order of magnitude speedup over the best prior parallel Borůvka implementation.

Original languageEnglish
Title of host publicationEuro-Par 2015
Subtitle of host publicationParallel Processing Workshops - Euro-Par 2015 International Workshops, Revised Selected Papers
EditorsSascha Hunold, Josef Weidendorfer, Domingo Gimenez, Laura Ricci, Stefan Lankes, Alexandru Costan, Ana Lucia Varbanescu, Stephen L. Scott, María Engracia Gómez Requena, Vittorio Scarano, Alexandru Iosup, Michael Alexander
PublisherSpringer Verlag
Pages541-552
Number of pages12
ISBN (Print)9783319273075
DOIs
StatePublished - 2015
Externally publishedYes
EventInternational Workshops on Parallel Processing Workshops, Euro-Par 2015 - Vienna, Austria
Duration: Aug 24 2015Aug 25 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9523
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Workshops on Parallel Processing Workshops, Euro-Par 2015
Country/TerritoryAustria
CityVienna
Period08/24/1508/25/15

Keywords

  • Locality
  • Minimum spanning forest
  • Synchronization

Fingerprint

Dive into the research topics of 'Accelerating minimum spanning forest computations on multicore platforms'. Together they form a unique fingerprint.

Cite this