A Diversified Memory Built-In Self-Repair Approach for Nanotechnologies

  • Authors:
  • Michael Nicolaidis;Nadir Achouri;Lorena Anghel

  • Affiliations:
  • -;-;-

  • Venue:
  • VTS '04 Proceedings of the 22nd IEEE VLSI Test Symposium
  • Year:
  • 2004

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Abstract

Memory Built In Self Repair (BISR) is gainingimportance since several years. Because defectdensities are increasing with submicron scaling, moreadvanced solutions may be required for memories tobe produced with the upcoming nanometric CMOSprocess generations. This problem will be exacerbatedwith nanotechnologies, where defect densities arepredicted to reach levels that are several orders ofmagnitude higher than in current CMOS technologies.For such defect densities, traditional memory repair isnot adequate. This work presents a diversified repairapproach merging ECC codes and self-repair, forrepairing memories affected by high defect densities.The approach was validated by means of statisticalfault injection simulations considering defect densitiesas high as 3*10{-2} % (3% of cells are defective). Theobtained results show that the approach providesclose to 100% memory yield, by means of reasonablehardware cost, for technologies of very poor quality.Thus, the extreme defect densities that many authorspredict for nanotechnologies do not represent a show-stopper,at least as concerning memories.