Energy estimation for 32-bit microprocessors

  • Authors:
  • C. Brandolese;W. Fornaciari;F. Salice;D. Sciuto

  • Affiliations:
  • Politecnico di Milano, DEl, Piazza L. Da Vinci, 32, 20133 Milano, Italy;Politecnico di Milano, DEl, Piazza L. Da Vinci, 32, 20133 Milano, Italy;Politecnico di Milano, DEl, Piazza L. Da Vinci, 32, 20133 Milano, Italy;Politecnico di Milano, DEl, Piazza L. Da Vinci, 32, 20133 Milano, Italy

  • Venue:
  • CODES '00 Proceedings of the eighth international workshop on Hardware/software codesign
  • Year:
  • 2000

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Abstract

Estimation of software power consumption is becoming one of the major problems for many embedded applications. The paper presents a novel approach to compute the energy of an Instruction Set, through a suitable functional decomposition of the activities involved during instruction execution. One of the main advantages of this approach is the capability to predict the power figures of the overall Instruction-Set starting from a small subset. A formal discussion on the statistical properties of the model is included, together with its application on five commercial 32-bit microprocessors.