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Improving Diagnosis Resolution and Performance at High Compression Ratios

Authors: Sameer Chillarige; Atul Chhabra; Anil Malik; Bharath Nandakumar; Joe Swenton; Krishna Chakravadhanula;

Improving Diagnosis Resolution and Performance at High Compression Ratios

Abstract

Recent innovations in Test Compression are enabling implementation of very high compression ratios. This paper analyzes the impact of high compression on resolution and performance of conventional diagnosis methods. The diagnosis resolution is observed to be unaffected by increasing the compression ratio if there are sufficient failures and patterns. However, the diagnosis run times increase significantly, resulting in significant throughput issues in Layout-aware Volume Diagnosis. A new diagnosis approach is proposed for high compression modes that achieves best possible resolution with significant run time speedup. Experiments on large industrial designs show up to 4.7X speedup with no loss of diagnosis resolution.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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