Implementing OpenMP on a high performance embedded multicore MPSoC

  • Authors:
  • Barbara Chapman;Lei Huang;Eric Biscondi;Eric Stotzer;Ashish Shrivastava;Alan Gatherer

  • Affiliations:
  • University of Houston, TX, USA;University of Houston, TX, USA;Texas Instruments, Houston, USA;Texas Instruments, Houston, USA;Texas Instruments, Houston, USA;Texas Instruments, Houston, USA

  • Venue:
  • IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
  • Year:
  • 2009

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Abstract

In this paper we discuss our initial experiences adapting OpenMP to enable it to serve as a programming model for high performance embedded systems. A high-level programming model such as OpenMP has the potential to increase programmer productivity, reducing the design/development costs and time to market for such systems. However, OpenMP needs to be extended if it is to meet the needs of embedded application developers, who require the ability to express multiple levels of parallelism, real-time and resource constraints, and to provide additional information in support of optimization. It must also be capable of supporting the mapping of different software tasks, or components, to the devices configured in a given architecture.