A novel memory size model for variable-mapping in system level design

  • Authors:
  • Lukai Cai;Haobo Yu;Daniel Gajski

  • Affiliations:
  • University of California, Irvine;University of California, Irvine;University of California, Irvine

  • Venue:
  • Proceedings of the 2004 Asia and South Pacific Design Automation Conference
  • Year:
  • 2004

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Abstract

It is predicted that 70% of the chip area will be occupied by memories in future system-on-chips. The minimization of on-chip memory hence becomes increasingly important for cost, performance and energy consumption. This paper proposes a novel memory size model for algorithms which map the variables of a system behavior to memories of a system architecture. To our knowledge, it is the first memory estimation approach that analyzes the variable lifetime for the system behavior, which consists of hierarchically-modelled and concurrently-executed processes and contains variables with different sizes. Experimental results show that significant improvements can be achieved.