Details
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Editors | Andy D. Pimentel, Stamatis Vassiliadis |
| Publisher | Springer Verlag |
| Pages | 69-77 |
| Number of pages | 9 |
| ISBN (print) | 3540223770, 9783540223771 |
| Publication status | Published - 2004 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 3133 |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
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.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Andy D. Pimentel; Stamatis Vassiliadis. Springer Verlag, 2004. p. 69-77 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3133).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Performance estimation of streaming media applications for reconfigurable platforms
AU - Reuter, Carsten
AU - Langerwerf, Javier Martín
AU - Stolberg, Hans Joachim
AU - Pirsch, Peter
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=35048855608&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-27776-7_8
DO - 10.1007/978-3-540-27776-7_8
M3 - Contribution to book/anthology
AN - SCOPUS:35048855608
SN - 3540223770
SN - 9783540223771
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 69
EP - 77
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Pimentel, Andy D.
A2 - Vassiliadis, Stamatis
PB - Springer Verlag
ER -