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Abstract:

Application domains like signal and image processing, multimedia and networking protocols involve processing of huge amounts of data stored in memory modules. The behavioral descriptions of these applications may contain a large number of array references for data accesses. Dependencies between array accesses cause bottlenecks in the derivation of high-performance schedules. In this paper, we introduce a scheduling-integrated technique to identify and remove these bottlenecks. We first demonstrate that there is a significant loss in the quality of a schedule if these bottlenecks are not taken into account by the scheduler. We then propose a technique to overcome these bottlenecks by introducing new operations in the schedule called verification operations. Experimental results on several benchmarks show that a scheduler powered by our technique demonstrates a two-fold improvement in performance (measured in terms of the average number of clock cycles) over a recently-introduced scheduler for control-flow intensive behavioral descriptions, called Wavesched. Wavesched itself has a two-fold performance advantage over traditional methods such as path-based scheduling and loop-directed scheduling. Also, the best- and worst-case execution times for the enhanced schedules obtained by our method are usually equal to or much less than the corresponding values for the execution times obtained by previous schedulers.

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