Efficient Microprocessor Design Space Exploration through Statistical Simulation

  • Authors:
  • Lieven Eeckhout;Dirk Stroobandt;Koen De Bosschere

  • Affiliations:
  • -;-;-

  • Venue:
  • ANSS '03 Proceedings of the 36th annual symposium on Simulation
  • Year:
  • 2003

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Abstract

To cope with the widening design gap, the ever increasingimpact of technology, reflected in increased interconnectdelay and power consumption, and the time-consumingsimulations needed to define the architecture of a microprocessor,computer engineers need techniques to explore thedesign space efficiently in an early design stage. These techniquesshould be able to identify a region of interest withdesirable characteristics in terms of performance, powerconsumption and cycle time. In addition, they should befast since the design space is huge and the design time islimited. In this paper, we demonstrate that statistical simulationis an early design stage technique capable of makingviable microprocessor design decisions efficiently in earlystages of the design flow while considering performance,power consumption and cycle time.