Implicitly parallel real-time signal processing

نویسندگان

  • Phillip L. Nico
  • John Feo
  • Robert Kim Yates
چکیده

This paper describes a compiler system for automatic par-allelization, partitioning, and scheduling of real-time signal processing applications written in a functional language running on general-purpose hardware. The high performance levels achieved by commodity processors can meet the demands of many real-time signal processing applications ; however, they are not used eeectively in practice because tools are not available to automatically create parallel partitions and schedules for DSP application codes that have critical time needs. We have extended Sisal, a high-performance functional language for scientiic computations , with constructs to express latency and throughput constraints. Given a description of the target architecture and an application with speciied timing requirements, the Sert compiler generates a precise, minimal data dependency graph and then partitions and creates a parallel schedule for the graph to satisfy the speciied constraints if possible. When complete, Sert's ability to rapidly and automatically generate parallel schedules for diierent system conngura-tions will make it an eeective aide to real-time systems developers .

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تاریخ انتشار 1997