Stream communication between real-time tasks in a high-performance multiprocessor

The demands in terms of processing performance, communication bandwidth and real-time throughput of many multimedia applications are much higher than today's processing architectures can deliver. The Prophid heterogeneous multiprocessor architecture template aims to bridge this gap. The templat...

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Bibliographic Details
Published in:Design, automation, and test in Europe : proceedings, February 23-26, 1998, Paris, France pp. 125 - 131
Main Authors: Leijten, J. A. J., van Meerbergen, J. L., Timmer, A. H., Jess, J. A. G.
Format: Conference Proceeding
Language:English
Published: Washington, DC, USA IEEE Computer Society 23.02.1998
Series:ACM Conferences
Subjects:
Computer systems organization > Architectures > Other architectures > Heterogeneous (hybrid) systems
Computer systems organization > Architectures > Parallel architectures > Multiple instruction, multiple data
Computer systems organization > Dependable and fault-tolerant systems and networks
Computer systems organization > Embedded and cyber-physical systems
Computer systems organization > Real-time systems
General and reference > Cross-computing tools and techniques > Performance
Networks > Network performance evaluation
ISBN:9780818683596, 0818683597
Online Access:Get full text
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Summary:The demands in terms of processing performance, communication bandwidth and real-time throughput of many multimedia applications are much higher than today's processing architectures can deliver. The Prophid heterogeneous multiprocessor architecture template aims to bridge this gap. The template contains a general purpose processor connected to a central bus, as well as several high-performance application domain specific processors. A high-throughput communication network is used to meet the high bandwidth requirements between these processors. In this network multiple time-division-multiplexed data streams are transferred over several parallel physical channels. This paper presents a method for guaranteeing the throughput for hard-real-time streams in such a network. At compile time sufficient bandwidth is assigned to these streams. The assignment can be determined in polynomial time. Remaining bandwidth is assigned to soft-real-time streams at run time. We thus achieve efficient stream communication with guaranteed performance.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
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ISBN:9780818683596
0818683597
DOI:10.5555/368058.368115