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  • In this paper we investigate whether parallelization of an application code for multi-core machines can bring any benefit for clustering systems, especially those based on opportunistic usage of idle resources. Previous research has shown that transformation of shared memory applications into clustered applications is complicated. At the moment, there is no practical solution available. Therefore, we instead focus on message passing applications as possible candidates for parallelization. We demonstrate a low effort approach that allows programmers to transform a multi-core Erlang code into a code that can run in a cluster environment. We provide scalability measurements of the solution in small clusters of commodity computers and identify weak points of the solution.
  • In this paper we investigate whether parallelization of an application code for multi-core machines can bring any benefit for clustering systems, especially those based on opportunistic usage of idle resources. Previous research has shown that transformation of shared memory applications into clustered applications is complicated. At the moment, there is no practical solution available. Therefore, we instead focus on message passing applications as possible candidates for parallelization. We demonstrate a low effort approach that allows programmers to transform a multi-core Erlang code into a code that can run in a cluster environment. We provide scalability measurements of the solution in small clusters of commodity computers and identify weak points of the solution. (en)
Title
  • Multi-Core Code in a Cluster. A Meaningful Option?
  • Multi-Core Code in a Cluster. A Meaningful Option? (en)
skos:prefLabel
  • Multi-Core Code in a Cluster. A Meaningful Option?
  • Multi-Core Code in a Cluster. A Meaningful Option? (en)
skos:notation
  • RIV/68407700:21240/10:00176691!RIV14-MSM-21240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM6840770014)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 273070
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21240/10:00176691
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • cluster computing; multicore processors; message passing; distributed spawn; parallel processes; scheduling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [702510E42C3A]
http://linked.open...v/mistoKonaniAkce
  • Hualien
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Advances in Grid and Pervasive Computing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Tvrdík, Pavel
  • Šťava, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000280488900002
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 0302-9743
number of pages
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  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-13066-3
http://localhost/t...ganizacniJednotka
  • 21240
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