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Compiling for Speculative Architectures

  • Seon Wook Kim
  • Rudolf Eigenmann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1863)

Abstract

The traditional target machine of a parallelizing compiler can execute code sections either serially or in parallel. In contrast, targeting the generated code to a speculative parallel processor allows the compiler to recognize parallelism to the best of its abilities and leave other optimization decisions up to the processor’s runtime detection mechanisms. In this paper we show that simple improvements of the compiler’s speculative task selection method can already lead to significant (up to 55%) improvement in speedup over that of a simple code generator for a Multiscalar architecture. For an even more improved software/ hardware cooperation we propose an interface that allows the compiler to inform the processor about fully parallel, serial, and speculative code sections as well as attributes of program variables. We have evaluated the degrees of parallelism that such a co-design can realistically exploit.

Keywords

Basic Block Parallel Execution Task Selection Parallel Task Speculative Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Seon Wook Kim
    • 1
  • Rudolf Eigenmann
    • 1
  1. 1.School of Electrical and Computer EngineeringPurdue UniversityWest Lafayette

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