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Subutai: Speeding Up Legacy Parallel Applications Through Data Synchronization

The decrease of the performance gain dictated by Moore's Law boosted the development of manycore architectures to replace single-core architectures. These new architectures must employ parallel applications and distribute its workload over a multitude of cores to reach the desired performance. Parallel applications are harder to develop than sequential ones since the developer must guarantee data integrity using synchronization primitives. While multiple novel solutions have been proposed to speed up parallel applications through handling one type of data synchronization primitive, exceptionally few works support multiple types of synchronization primitives and legacy code. This article proposes Subutai, a hardware/software co-design solution for accelerating multiple synchronization primitives without modifying the application source code. By providing a new user library, while retaining an existing synchronization API, legacy and novel applications can benefit from our solution. Our experiment

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Coauteurs

  • Satyajit DasIIT PalakkadAdresse e-mail validée de iitpkd.ac.in
  • Krzysztof KuchcinskiProfessor of Computer Science (emeritus), Lund UniversityAdresse e-mail validée de cs.lth.se
  • Davide RossiAssociate Professor, University Of BolognaAdresse e-mail validée de unibo.it
  • Luca BeniniETH Zürich, Università di BolognaAdresse e-mail validée de unibo.it
  • Gwenole CorreCEA-LIST, Paris-Saclay UniversityAdresse e-mail validée de cea.fr
  • Rodrigo CataldoPostdoctoral Researcher at UBSAdresse e-mail validée de acad.pucrs.br
  • Dinh Thanh NgoThe University of Danang - University of Science and TechnologyAdresse e-mail validée de dut.udn.vn
  • Steven DerrienUniversité
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    Kevin Martin

    Home    My PhD thesis    Délégation CNRS 2021-2022    My HDR

    Professeur des universités / Full Professor

     IUT Lorient - Université de Bretagne-Sud
     Lab-STICC - ARCAD team
     Centre de Recherche Christiaan Huygens
     BP 92116
     56321 Lorient Cedex - FRANCE
     Phone : +33 (0)2.97.87.46.36 (research center)
                                           28.54 (IUT)

    kevin (dot) martin (at) univ-ubs (dot) fr



    Voir mon profil
    Research Gate

    Short Biography

    Kevin Martin is an associate professor at Université Bretagne-Sud, France, in the Lab-STICC, since 2011.
    He has received a M.S. in electrical and computer engineering in 2004 and a PhD in computer science in 2010 from the Université de Rennes, France.
    His research interests include system-level design and methodologies, custom processors, embedded multi-processor platforms, CGRAs, high

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