Parameterized scheduling for signal processing systems using topological patterns
Tutkimustuotos › › vertaisarvioitu
Yksityiskohdat
Alkuperäiskieli | Englanti |
---|---|
Otsikko | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings |
Sivut | 1561-1564 |
Sivumäärä | 4 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 2012 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japani Kesto: 25 maaliskuuta 2012 → 30 maaliskuuta 2012 |
Conference
Conference | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 |
---|---|
Maa | Japani |
Kaupunki | Kyoto |
Ajanjakso | 25/03/12 → 30/03/12 |
Tiivistelmä
In recent work, a graphical modeling construct called "topological patterns" has been shown to enable concise representation and direct analysis of repetitive dataflow graph sub-structures in the context of design methods and tools for digital signal processing systems [1]. In this paper, we present a formal design method for specifying topological patterns and deriving parameterized schedules from such patterns based on a novel schedule model called the scalable schedule tree. The approach represents an important class of parameterized schedule structures in a form that is intuitive for representation and efficient for code generation. We demonstrate our methods for topological pattern representation, scalable schedule tree derivation, and associated dataflow graph code generation using a case study for image processing.