Abstract
Dataflow is a natural way of modelling streaming applications, such as multimedia, networking and other signal processing applications. In order to cope with the computational and parallelism demands of such streaming applications, multiprocessor systems are replacing uniprocessor systems. Mapping and scheduling these applications on multiprocessor systems are crucial elements for efficient implementation in terms of latency, throughput, power and energy consumption etc. Performance of streaming applications running on multiprocessor systems may widely vary with mapping and scheduling strategy. This paper performs a systematic literature review of available research carried out in the area of mapping and scheduling of dataflow graphs.
| Original language | English |
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| Publication status | Published - 2014 |
| Event | 48th Asilomar Conference on Signals, Systems and Computers, 2014 - At Pacific Grove, CA, USA., Pacific Grove, California, United States Duration: 2014 Nov 2 → 2014 Nov 5 Conference number: 48 |
Conference
| Conference | 48th Asilomar Conference on Signals, Systems and Computers, 2014 |
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| Country/Territory | United States |
| City | Pacific Grove, California |
| Period | 2014/11/02 → 2014/11/05 |
Subject classification (UKÄ)
- Computer Science
