Word-Length Aware DSP Hardware Design Flow Based on High-Level Synthesis

  • Authors:
  • Bertrand Gal;Emmanuel Casseau

  • Affiliations:
  • IMS Laboratory, CNRS - UMR 5218, Bordeaux Polytechnic Institute, University of Bordeaux, Talence, France;French National Institute for Research in Computer Science and Control, INRIA/IRISA, Lannion, France

  • Venue:
  • Journal of Signal Processing Systems
  • Year:
  • 2011

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Abstract

Multimedia applications such as video and image processing are often characterized as computation intensive applications. For these applications the word-length of data and instructions is different throughout the application. Generating hardware architectures is not a straightforward task since it requires a deep word-length analysis in order to properly determine what hardware resources are needed. In this paper we suggest an automated design methodology based on high-level synthesis which takes care of data word-length and interconnection resource cost in order to generate area and power efficient fixed-point architectures for DSP applications. Both ASIC and FPGA technologies are targeted. Experimental results show that our proposed approach reduces area by 6% to 42% on FPGA technology and by 9% to 48 % on ASIC compared to previous approaches. Power saving can reach up to 44% on FPGA technology and 36% on ASIC.