• DocumentCode
    721190
  • Title

    Efficient workload characterization technique for heterogeneous processors

  • Author

    Anuradha, P. ; Rallapalli, Hemalatha ; Narasimha, G. ; Ahmed, Syed Musthak

  • Author_Institution
    Electron. & Commun. Eng., Varadha Reddy Coll. of Eng., Warangal, India
  • fYear
    2015
  • fDate
    12-13 June 2015
  • Firstpage
    812
  • Lastpage
    817
  • Abstract
    As the embedded computing becomes advanced, more and more functionality is becoming available on the mobile devices. The workloads on earlier generations of mobile devices were mostly limited to chat, e-mail or Web browsing apart from the use as phones. Multi-media workloads such as the video are on the rise; in addition many users play games or use apps on the latest mobile devices. The emergence of these new workloads has resulted in the high performance demands on the mobile devices. System level design space exploration for high performance embedded systems is a very important problem that has become very challenging due to the advent of multi cores, GPUs, FPGAs and DSPs along with a large variety of energy efficient memory systems. To perform efficient design space exploration for SoCs adopted workload characterizations approach. This paper shows workload characterization for a variety of heterogeneous processors such as the DSPs and FPGAs.
  • Keywords
    embedded systems; integrated circuit design; microprocessor chips; system-on-chip; DSP; FPGA; SoC; Web browsing; e-mail; embedded computing; energy efficient memory systems; heterogeneous processors; high performance embedded systems; mobile devices; multimedia workloads; system level design space exploration; workload characterization technique; Analytical models; Clocks; Communications technology; Correlation; Decoding; Field programmable gate arrays; Q measurement; DSP; FPGA; PCA; Workloads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2015 IEEE International
  • Conference_Location
    Banglore
  • Print_ISBN
    978-1-4799-8046-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2015.7154819
  • Filename
    7154819