• DocumentCode
    124034
  • Title

    Towards domain-specific Instruction-Set Generation

  • Author

    Pulli, Adithya ; Galuzzi, Carlo ; Gaydadjiev, Georgi

  • fYear
    2014
  • fDate
    2-4 Sept. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Over the past years, a considerable amount of effort has been devoted to the definition and implementation of techniques for the optimization and acceleration of applications on various (reconfigurable) computing platforms. Among these techniques, the extension of a given instruction-set architecture with custom instructions has become a common approach. Custom instructions effectively reduce the dynamic instruction count, which, in turn, leads to an increase in performance. Traditionally, existing techniques address Instruction-Set Extension (ISE) on a per-application basis. Anyhow, when many applications have to be considered at the same time, ISE on a per-application basis is, clearly, less effective, as the custom instructions have, often, limited re-utilization across applications. To overcome this problem, we propose a new framework for the automatic generation of domain-specific ISEs. Experimental results show that, the proposed framework, evaluated on a number of applications from various domains, can effectively generate domain-specific instructions with high utilization factor across the targeted applications. At the same time, the generated instructions dramatically reduce the instruction count, 50% on average and upto 95% in special cases. This, in turn, can lead to a considerable improvement in performance.
  • Keywords
    data flow graphs; instruction sets; microprocessor chips; ISE; custom instructions; data flow graphs; domain specific instruction set generation; dynamic instruction count; instruction set extension; Educational institutions; Hardware; Measurement; Merging; Optimization; Program processors; Registers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Field Programmable Logic and Applications (FPL), 2014 24th International Conference on
  • Conference_Location
    Munich
  • Type

    conf

  • DOI
    10.1109/FPL.2014.6927423
  • Filename
    6927423