• DocumentCode
    710617
  • Title

    PPB: Partially-working processors binning for maximizing wafer utilization

  • Author

    Da Cheng ; Gupta, Sandeep K.

  • Author_Institution
    Xilinx, Inc., San Jose, CA, USA
  • fYear
    2015
  • fDate
    27-29 April 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Hardware redundancy, such as spare processors and cores, has been added to chip multi-processors (CMPs) to improve yield while sustaining all functionalities of CMPs. During post-silicon testing, spares processors and cores are used for repair. Even after repair, some CMPs may have processors with insufficient number of cores; in such CMPs some processors are disabled and such chips are sold at lower prices to improve yield per area. Despite binning on the number of processors, substantial functional resources are wasted in disabled components. In this work, we propose a new utility function and a new repair algorithm which enable utilization of every working core on a CMP. We demonstrate the benefits of the proposed approach for benchmarks from ISPASS and Nvidia CUDA SDK using GPGPU-sim to compute the instructions per cycle (IPC). Results show that our design and repair approaches provide above 50% IPC per wafer area even with 10x the current defect density.
  • Keywords
    graphics processing units; multiprocessing systems; parallel architectures; CMP; GPGPU-sim; IPC; ISPASS; Nvidia CUDA SDK; PPB; chip multiprocessors; current defect density; disabled components; hardware redundancy; instructions per cycle; partially-working processors binning; post-silicon testing; repair algorithm; spare processors; substantial functional resources; utility function; wafer area; wafer utilization maximization; Benchmark testing; Graphics processing units; Instruction sets; Maintenance engineering; Parallel processing; Redundancy; CMP; defect; hardware redundancy; yield;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Test Symposium (VTS), 2015 IEEE 33rd
  • Conference_Location
    Napa, CA
  • Type

    conf

  • DOI
    10.1109/VTS.2015.7116253
  • Filename
    7116253