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Automatic Performance Model Construction for the Fast Software Exploration of New Hardware Designs
 

Summary: Automatic Performance Model Construction for the Fast
Software Exploration of New Hardware Designs
John Cavazos, Christophe Dubach,
Felix Agakov, Edwin Bonilla,
Michael F.P. O'Boyle
Member of HiPEAC
School of Informatics
University of Edinburgh, UK
Grigori Fursin and Olivier Temam
Member of HiPEAC
ALCHEMY Group
INRIA Futurs and LRI, Paris-Sud University,
France
ABSTRACT
Developing an optimizing compiler for a newly proposed architecture is ex-
tremely difficult when there is only a simulator of the machine available.
Designing such a compiler requires running many experiments in order
to understand how different optimizations interact. Given that simulators
are orders of magnitude slower than real processors, such experiments are
highly restricted. This paper develops a technique to automatically build a

  

Source: Agakov, Felix - Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh
Taufer, Michela - Department of Computer and Information Sciences, University of Delaware

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences