CogniServe: Heterogeneous server architecture for large-scale recognition

  • Ravi Iyer
  • , Sadagopan Srinivasan
  • , Omesh Tickoo
  • , Zhen Fang
  • , Rameshkumar Illikkal
  • , Steven Zhang
  • , Vineet Chadha
  • , Paul M. Stillwell
  • , Seung Eun Lee

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

As smart mobile devices become pervasive, vendors are offering rich features supported by cloud-based servers to enhance the user experience. Such servers implement large-scale computing environments, where target data is compared to a massive preloaded database. CogniServe is a highly efficient recognition server for large-scale recognition that employs a heterogeneous architecture to provide low-power, high-throughput cores, along with application-specific accelerators.

Original languageEnglish
Article number5753878
Pages (from-to)20-31
Number of pages12
JournalIEEE Micro
Volume31
Issue number3
DOIs
StatePublished - May 2011

Keywords

  • CogniServe
  • accelerator
  • cloud-based computing
  • heterogeneous architecture
  • large-scale recognition
  • mobile/wireless

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