Automated Instruction-Set Extension of Embedded Processors with Application to MPEG-4 Video Encoding

  • Authors:
  • Nikolaos Kavvadias;Spiridon Nikolaidis

  • Affiliations:
  • Section of Electronics and Computers, Department of Physics Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;Section of Electronics and Computers, Department of Physics Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

  • Venue:
  • ASAP '05 Proceedings of the 2005 IEEE International Conference on Application-Specific Systems, Architecture Processors
  • Year:
  • 2005

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Abstract

A recent approach to platform-based design involves the use of extensible processors, offering architecture customization possibilities. Part of the designer responsibilities is the domain-specific extension of the baseline processor to fit customer requirements. Key issues of this process are the automated application analysis and candidate instruction identification/selection for implementation as application speci fic functional units (AFUs). In this paper, a design approach that encapsulates automated workload characterization and instruction generation is utilized for extending processors to efficiently support embedded application sets. The method used for instruction generation is a highly parameterized adaptation of the MaxMISO technique, which allows for fast design space exploration. It is proven that only a small number of AFUs are needed in order to support the algorithms of interest (MPEG-4 encoding kernels) and that it is possible to achieve 2脳 to 3.5脳 performance improvements although further possibilities such as subword parallelization are not currently regarded.