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 piece-wise regular algorithms, and (3) in order to achieve highest performance, we present a speculative scheduling approach. The results are applied to an illustrative example.
Citation:
Frank Hannig, J? Teich, "Resource Constrained and Speculative Scheduling of an Algorithm Class with Run-Time Dependent Conditionals," asap, pp.17-27, 15th IEEE International Conference on Application-Specific Systems, Architectures and Processors (ASAP'04), 2004