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Mapping and Scheduling of Dataflow Graphs - A Systematic Map

Mirza, Usman Mazhar LU ; Arslan, Mehmet Ali LU ; Cedersjö, Gustav LU ; Sulaman, Sardar Muhammad LU and Janneck, Jörn LU (2014) 48th Asilomar Conference on Signals, Systems and Computers, 2014
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.
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Contribution to conference
publication status
published
subject
conference name
48th Asilomar Conference on Signals, Systems and Computers, 2014
conference location
Pacific Grove, California, United States
conference dates
2014-11-02 - 2014-11-05
language
English
LU publication?
yes
id
1e0f3a7d-e370-45af-88c7-d217a2eaba20 (old id 4936074)
date added to LUP
2016-04-04 13:43:02
date last changed
2021-05-05 11:15:18
@misc{1e0f3a7d-e370-45af-88c7-d217a2eaba20,
  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.}},
  author       = {{Mirza, Usman Mazhar and Arslan, Mehmet Ali and Cedersjö, Gustav and Sulaman, Sardar Muhammad and Janneck, Jörn}},
  language     = {{eng}},
  title        = {{Mapping and Scheduling of Dataflow Graphs - A Systematic Map}},
  url          = {{https://lup.lub.lu.se/search/files/6188038/4936076.pdf}},
  year         = {{2014}},
}