• DocumentCode
    3664243
  • Title

    A Research-Oriented Course on Advanced Multicore Architecture

  • Author

    Julio Sahuquillo;Salvador Petit;Vicent Selfa;María Engracia Gómez

  • Author_Institution
    Depto. de Inf. de Sist. y Comput., Univ. Politec. de Valencia, Valencia, Spain
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    760
  • Lastpage
    765
  • Abstract
    Multicore processors have become ubiquitous in our real life in devices like smartphones, tablets, etc. In fact, they are present in almost all segments of the computing market, from supercomputers to embedded devices. The huge market competence have lead industry and academia to develop vertiginous technological and architectural advances. The fast evolution that are still experiencing current multicores makes difficult for instructors to offer computer architecture courses with updated contents, preferably showing the industry and academia research trends. To deal with this shortcoming, authors consider that a research-oriented course is the most appropriate solution. This paper presents an advanced computer architecture course called Advanced Multicore Architectures, offered in 2015. The course covers the basic topics of multicore architecture and has been organized in four main modules regarding multicore basis, performance evaluation, advanced caching, and main memory organization. The course follows a research-oriented approach that covers theoretical concepts at lectures in which recent research papers are analyzed to provide students a wide view of current trends. Moreover, additional teaching methods like lab sessions with a state-of-the-art multicore simulator or research-oriented exercises have been used with the aim of introducing students to research in these topics. To achieve this fully research-oriented methodology, about 40% of the time is devoted to labs and exercises.
  • Keywords
    "Multicore processing","Program processors","Random access memory","Organizations","Measurement","Industries"
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium Workshop (IPDPSW), 2015 IEEE International
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2015.46
  • Filename
    7284386