Essential Pattern and Sequence Sensitivity in Semiconductor Memories,

Abstract

Pragmatic classification of errors linked to a study of Essential Pattern and Sequence Sensitivity leads to a new and credible strategy for the validation of individual chips and entire memories. Three categories or errors are recognized: hard, non-random soft and random soft errors. Progress in the verification of VLSI devices is predicated on the availability of diagnostic instrumentation. Three promising techniques are being developed: (1) Stroboscopic Scanning Electron Microscopy; (2) the Zero-Capacitance Probe; and (3) Pseudo Analog Testing. More attention must also be given to the matter of process statistics. Lastly, much remains to be done at the system level. We consider error correction of the Hamming-code variety as a particularly efficient technique of fault-tolerant design and we discuss chip and system architectures for reduction of the risk of burst errors. All in all we advocate (1) conventional testing for hard errors attributable typically to stuck-at-faults, (2) extensive analysis and diagnostics for non-random soft errors produced more often than not by crosstalk manifested as Pattern or Sequence Sensitivity, and (3) block-oriented error correction for random errors induced most often by alpha particles and cosmic rays.

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Document Details

Document Type
Technical Report
Publication Date
Jul 15, 1980
Accession Number
ADA110263

Entities

People

  • A. Tuszynski

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Access Time
  • Alpha Particles
  • Artificial Intelligence
  • Clocks
  • Computers
  • Cosmic Rays
  • Databases
  • Electrical Engineering
  • Electron Microscopes
  • Electronics
  • Fabrication
  • Failure Mode And Effect Analysis
  • Large Scale Integration
  • Microscopes
  • Reliability
  • Semiconductors
  • Test Equipment

Readers

  • Integrated Circuit Design and Technology.
  • Parallel and Distributed Computing.
  • Regression Analysis.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems