Automatic Extraction of Task-Level Parallelism for Heterogeneous MPSoCs

Cordes, Daniel; Neugebauer, Olaf; Engel, Michael; Marwedel, Peter

doi:10.1109/icpp.2013.113

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…Therefore, we will focus in this section, on the related works [14][15][16][17][18], which are dedicated to the domain of embedded cyber-physical systems.…”

Section: Related Workmentioning

confidence: 99%

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Worst-Case Execution-Time-Aware Parallelization of Model-Based Avionics Applications

Reder¹,

Kempf²,

Bucher³

et al. 2019

Journal of Aerospace Information Systems

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Multi-core processing systems are the solution of choice to provide high embedded computing performance, but drawbacks in timing-predictability and programmability limit their adoption in safety-critical aerospace applications. This work presents a compiler tool-flow for automated parallelization of model-based real-time software, which addresses the shortcomings of multi-core architectures in real-time systems. The flow is demonstrated using a model-based Terrain Awareness and Warning Systems (TAWS) and an edge detection algorithm from the image-processing domain. Model-based applications are first transformed into real-time C code and from there into a well-predictable parallel C program. Tight bounds

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“…Therefore, we will focus in this section, on the related works [14][15][16][17][18], which are dedicated to the domain of embedded cyber-physical systems.…”

Section: Related Workmentioning

confidence: 99%

“…The approaches [15] and [16] as well as the ALMA tool-flow in [17] use the Hierarchical Task Graph (HTG)…”

Section: Related Workmentioning

confidence: 99%

Worst-Case Execution-Time-Aware Parallelization of Model-Based Avionics Applications

Reder¹,

Kempf²,

Bucher³

et al. 2019

Journal of Aerospace Information Systems

View full text Add to dashboard Cite

show abstract

“…The work of [Cordes 2013] proposes a parallelization approach tailored for embedded MPSoC based on Integer Linear Programming (ILP) . This approach is able to expose parallelism inherent in a task's sequential structure.…”

Section: Problem Motivationmentioning

confidence: 99%