Abstract
Streaming applications are often implemented as task graphs, in which data is communicated from task to task over buffers. Currently, techniques exist to compute buffer capacities that guarantee satisfaction of the throughput constraint if the amount of data produced and consumed by the tasks is known at design-time. However, applications such as audio and video decoders have tasks that produce and consume an amount of data that depends on the decoded stream. This paper introduces a dataflow model that allows for data-dependent communication, together with an algorithm that computes buffer capacities that guarantee satisfaction of a throughput constraint. The applicability of this algorithm is demonstrated by computing buffer capacities for an H.263 video decoder.
Original language | Undefined |
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Title of host publication | Proceedings of the 14th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS'08 |
Place of Publication | Los Alamitos |
Publisher | IEEE |
Pages | 183-194 |
Number of pages | 12 |
ISBN (Print) | 978-0-7695-3146-5 |
DOIs | |
Publication status | Published - Apr 2008 |
Event | 14th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2008 - St. Louis, United States Duration: 22 Apr 2008 → 24 Apr 2008 Conference number: 14 |
Publication series
Name | |
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Publisher | IEEE Computer Society Press |
Number | 302 |
ISSN (Print) | 1080-1812 |
Conference
Conference | 14th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2008 |
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Abbreviated title | RTAS 2008 |
Country/Territory | United States |
City | St. Louis |
Period | 22/04/08 → 24/04/08 |
Keywords
- IR-64842
- METIS-251042
- EWI-12967