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Hybrid predication model for instruction level parallelism

Authors: Amr M. M. Ashmawy; Howaida F. Ismail; Aly H. Fahmy;

Hybrid predication model for instruction level parallelism

Abstract

This paper presents a hybrid predication model in analogy to the delayed branching technique with overlapped delayed slots by integrating two different predication models. Predicated-execution is considered a promising branch handling technique. A few models have been proposed for predicated-execution, the most known model has succeeded to provide ILP processors with enough parallel instructions for efficient resource utilization. Unfortunately, false parallelism is introduced by the instructions provided from the null paths (large dynamic code expansion). Another predicated-execution model has managed to decrease the dynamic code expansion, with the cost of limiting the parallelism exploited and increasing the static code expansion. The presented hybrid predication model managed to integrate the advantages of the two models by decreasing the code expansion both dynamically and statically especially for conditional code structures included within loops. The various conducted experiments aimed to provide an evaluation for the proposed model via simulation. The results proved that the presented hybrid predication model can achieve better utilization of register and shorter schedules with the same issue-width compared with the other existing models.

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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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