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Automatic design of application-specific reconfigurable processor extensions with UPaK synthesis kernel

Authors: Wolinski, Christophe; Kuchcinski, Krzysztof; Raffin, Erwan;

Automatic design of application-specific reconfigurable processor extensions with UPaK synthesis kernel

Abstract

This article presents a new tool for automatic design of application-specific reconfigurable processor extensions based on UPaK (Abstract U nified Pa tterns Based Synthesis K ernel for Hardware and Software Systems). We introduce a complete design flow that identifies new instructions, selects specific instructions and schedules a considered application on the newly created reconfigurable architecture. The identified extensions are implemented as specialized sequential or parallel instructions. These instructions are executed on a reconfigurable unit implementing all merged patterns. Our method uses specially developed algorithms for subgraph isomorphism that are implemented as graph matching constraints. These constraints together with separate algorithms are able to efficiently identify computational patterns and carry out application mapping and scheduling. Our methods can handle both time-constrained and resource-constrained scheduling. Experimental results show that the presented method provides high coverage of application graphs with small number of patterns and ensures high application execution speedup both for sequential and parallel application execution with reconfigurable processor extensions implementing selected patterns.

Keywords

Reconfigurable architectures, constraint programming, [INFO.INFO-AR] Computer Science [cs]/Hardware Architecture [cs.AR], scheduling, resource assignment, system-level synthesis

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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!
18
Average
Top 10%
Average
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