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Slashing turnaround-time by introducing distributed computing

Authors: Gerd Ballhorn;

Slashing turnaround-time by introducing distributed computing

Abstract

Mask data preparation has become a major concern in the supply chain from design to the fab. The mask industry is facing a number of problems induced by a massive introduction of OPC. Affecting the design flow the exponentially escalating data volume came into focus because the data-prep infrastructure fails to keep up with this development. As a consequence the turn around time from tape out to 'ready to write' data is permanently rising from a couple of hours 2 years ago to many days/weeks nowadays. Computation times of many days on modern workstations is no exception anymore. Especially when mask data have to be converted to another writing tools data format or just a mask manufacturing process has to be adapted by modifying the data bias, we encountered computing times of more than hundred hours for a single layer. We found a way to reduce these computation times by a factor of more than 100 by introducing distributed computing on a Linux based cluster.

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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!
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