A Platform-Independent Methodology for Performance Estimation of Multimedia Signal Processing Applications

  • Authors:
  • Hans-Joachim Stolberg;Mladen Bereković;Peter Pirsch

  • Affiliations:
  • Institute of Microelectronic Systems, University of Hannover, Hannover, Germany 30167;Institute of Microelectronic Systems, University of Hannover, Hannover, Germany 30167;Institute of Microelectronic Systems, University of Hannover, Hannover, Germany 30167

  • Venue:
  • Journal of VLSI Signal Processing Systems
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

A methodological framework for performance estimation of multimedia signal processing applications on different implementation platforms is presented. The methodology derives a complexity profile which is characteristic for an application, but completely platform-independent. By correlating the complexity profile with platform-specific data, performance estimation results for different platforms are obtained. The methodology is based on a reference software implementation of the targeted application, but is, in constrast to instruction-level profiling-based approaches, fully independent of its optimization degree. The proposed methodology is demonstrated by example of an MPEG-4 Advanced Simple Profile (ASP) video decoder. Performance estimation results are presented for two different platforms, a specialized VLIW media processor and an embedded general-purpose RISC processor, showing a high accuracy of he methodology. The approach can be employed to assist in design decisions in the specification phase of new architectures, in the selection process of a suitable target platform for a multimedia application, or in the optimization stage of a software implementation on a specific platform.