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Institut für Technische Informatik |
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Neue Methoden für den Massiv-Parallel Test im Hochvolumen, Yield Learning und Beste Testqualität |
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Until 2008 digital circuitry will increase up to nearly 100 million gate
equivalences; that will result in about 4 times more test vec-tors than
required today. The costs of testing these new ICs and their huge data volume
produced will add up to at least a factor of three, the required test time to a
factor of 10. Even if not considering the increased number of pins, test cost
per IC will explode to a factor of 120. The project MAYA will address this
challenge by developing and integrating innovative technology for capturing
data massively in parallel on-chip as well as multisite testing, and fast data
processing to off-chip. These solutions will meet the demand for the next
higher through-put increase of high-volume production testing at high quality.
Projektpartner
Förderung
- Förderinitiative Ekompass des Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie (BMBF)
Ansprechpartner
Publikationen
- Programmable Deterministic Built-in Self-test
A.-W. Hakmi, H.-J. Wunderlich, C.G. Zoellin, A. Glowatz, J. Schloeffel, F. Hapke
19th ITG/GI/GMM Workshop "Testmethoden und Zuverlässigkeit von Schaltungen und Systemen", Erlangen, Germany, 2007, pp. 61-65.
Links
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