Optimization Trade-offs for Vector Volume and Test Power

  • Authors:
  • Bahram Pouya;Alfred L. Crouch

  • Affiliations:
  • -;-

  • Venue:
  • ITC '00 Proceedings of the 2000 IEEE International Test Conference
  • Year:
  • 2000

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Abstract

In today's large designs, especially large SOC(system-on-a-chip) designs, vector volume for a singlecore could dominate the memory resources of the targettester and leave little or no room for other vectors. Tothis end, delivery of an "optimized" or "reduced" vectorset, without any loss of coverage, is preferred. Onecommercial means of delivering an optimized vector set isto compress the vectors during vector generation.Another applicable solution is to understand theoverlapping faults among various fault models andremove them from the fault lists for certain pattern types.The main problem with these optimization approaches isthat compressed vectors create more switching activities,which could potentially cause average power dissipation,instantaneous and peak power during test to besignificantly higher than normal operation. Test power issuch a big concern in large SOC designs that the powerassociated with the "reuse" vectors must be understood.This paper presents a case study of a Motorola Version 3ColdFire® microprocessor core, with a focus on thevarious vector optimizations and their ramifications ontest power.