Text - KFUPM - King Fahd University of Petroleum and Minerals
Text - KFUPM - King Fahd University of Petroleum and Minerals
Text - KFUPM - King Fahd University of Petroleum and Minerals
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analysis gives a reduced number <strong>of</strong> representative parallel scan chains if the<br />
given parallel chains are compatible amongst themselves.<br />
• The extent <strong>of</strong> compatibility achieved depends upon how many bits are specified<br />
per scan vector. The lesser the specified bits, the lesser the conflicts, resulting<br />
in greater compatibility between the set <strong>of</strong> parallel chains.<br />
• The compatibility analysis can be applied to parallel scan chains <strong>of</strong> a single<br />
vector or a set <strong>of</strong> vectors. Depending upon the extent <strong>of</strong> specified bits present,<br />
the amount <strong>of</strong> conflict tends to increase the longer the chains (or columns) are.<br />
The length <strong>of</strong> each column is determined by the number <strong>of</strong> bits per column<br />
per vector multiplied by the total number <strong>of</strong> test vectors being considered for<br />
the analysis.<br />
• Compatibility analysis per vector gives the lower bound on achievable representative<br />
parallel scan chains for a given test set for a specified number <strong>of</strong><br />
parallel scan chains per vector.<br />
When the compatibility analysis is done per vector, the resulting number <strong>of</strong><br />
representative scan chains <strong>and</strong> the configuration <strong>of</strong> compatible groups may vary<br />
among the different vectors in a test set depending upon the amount <strong>of</strong> specified bits<br />
present <strong>and</strong> their relative positions in each vector. Even if most vectors individually<br />
lend themselves favorably to compression using compatibility analysis, the gains<br />
become less due to the increased conflicts when multiple vectors are considered<br />
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