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Resource Constrained and Speculative Scheduling of an Algorithm
Class with Run-Time Dependent Conditionals
Frank Hannig
and Jürgen Teich
Department of Computer Science 12, Hardware-Software-Co-Design,
University of Erlangen-Nuremberg, Germany
Abstract.
In this paper we present a significant extension of the quantified
equation based algorithm class of piecewise regular algorithms.
The main contributions of the following
paper are: (1) the class of piecewise regular algorithms is extended
by allowing run-time dependent conditionals, (2) a mixed integer linear
program is given to derive optimal schedules of the novel class we call
dynamic piecewise regular algorithms, and (3) in order to achieve highest
performance, we present a speculative scheduling approach. The results
are applied to an illustrative example.
Full article in PDF (159 KB)
BibTex entry
In Proceedings of the 15th IEEE International Conference on Application-specific Systems, Architectures, and Processors (ASAP 2004).
pp. 17-27, Galveston, TX, U.S.A., September 27-29, 2004, © IEEE.
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