Performance Estimation of Streaming Media Applications for Reconfigurable Platforms

A methodology for performance estimation of streaming media applications for different platforms is presented. The methodology derives a complexity profile for an application as a platform-independent metric, and enables performance estimation on potential platforms by correlating the complexity profile with platform-specific data. By example of an MPEG-4 Advanced Simple Profile (ASP) video decoder, performance estimation results are presented. As one particular benefit, the approach can be employed to explore what hardware functions are most suited for the implementation on reconfigurable architectures.

[1]  Peter Pirsch,et al.  The M-PIRE MPEG-4 codec DSP and its macroblock engine , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

[2]  Zhun Zhong,et al.  MPEG2 decoding complexity regulation for a media processor , 2001, 2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564).

[3]  Peter Pirsch,et al.  The MPEG-4 Advanced Simple profile - a complexity study , 2001, Proceedings of Workshop and Exhibition on MPEG-4 (Cat. No.01EX511).

[4]  Nam Ling,et al.  On speed optimization of MPEG-4 decoder for real-time multimedia applications , 1999, Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300).

[5]  Walter Stechele,et al.  Complexity analysis of the emerging MPEG-4 standard as a basis for VLSI implementation , 1998, Electronic Imaging.

[6]  Uri C. Weiser,et al.  MMX technology extension to the Intel architecture , 1996, IEEE Micro.

[7]  Enrico Macii,et al.  Designing low-power circuits: practical recipes , 2001 .

[8]  I. Kuroda,et al.  Multimedia processors , 1998, Proc. IEEE.