• DocumentCode
    2372335
  • Title

    Trading Conditional Execution for More Registers on ARM Processors

  • Author

    Cheng, Huang-Jia ; Hwang, Yuan-Shin ; Chang, Rong-Guey ; Chen, Cheng-Wei

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2010
  • fDate
    11-13 Dec. 2010
  • Firstpage
    53
  • Lastpage
    59
  • Abstract
    Conditional execution is an important ISA feature of the ARM series of processors. Every instruction can be made to execute conditionally, that is, it is treated as a NOP if the condition is not met. The advantage of conditional execution is that it can maintain high performance while reducing hardware complexity since it can avoid introducing pipeline bubbles even when no branch prediction units are needed. However, conditional execution takes up precious instruction space as conditions are encoded into a 4-bit condition code selector on every 32-bit ARM instruction. Besides, only small percentages of instructions are actually conditionalized in modern embedded applications, and conditional execution might not even lead to performance improvement on modern embedded processors. This paper proposes to trade conditional execution for more ISA registers on ARM processors, and the 4-bit condition field will be used to encode the extra registers. GCC has been ported to generate ARM code with the new instruction format and experimental results have shown that performance can be improved by 6% on average for Media Bench II benchmarks when the number of ISA registers is extended from 16 to 32.
  • Keywords
    instruction sets; pipeline processing; software architecture; ARM processors; ISA registers; conditional execution; hardware complexity; instruction set architecture; pipeline bubbles; Conditional Execution; ISA; Instruction Encoding; Registers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Ubiquitous Computing (EUC), 2010 IEEE/IFIP 8th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-9719-5
  • Electronic_ISBN
    978-0-7695-4322-2
  • Type

    conf

  • DOI
    10.1109/EUC.2010.18
  • Filename
    5703498