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Representing and scheduling looping behavior symbolically

Authors: Steve Haynal; Forrest Brewer;

Representing and scheduling looping behavior symbolically

Abstract

This paper presents a very general, exact technique for scheduling looping data-flow graphs. In contrast to the conventional technique using loop iteration variables and integer linear programming, the new technique uses implicit symbolic automata techniques to represent the problem instance. The new technique has several advantages, such as incremental refinement, efficient variable usage and ability to accommodate practical design constraints. A small case study demonstrates the flexibility and viability of this technique.

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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!
2
Average
Average
Average
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