Scheduler for Inhomogeneous and Irregular CGRAs with Support for Complex Control Flow

Ruschke, Tajas; Jung, Lukas Johannes; Wolf, Dennis Leander; Hochberger, Christian

doi:10.1109/ipdpsw.2016.72

Cited by 9 publications

(2 citation statements)

References 25 publications

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“…The optimized CDFG and the CGRA model are then fed into the scheduler (Step 7), which is based on list scheduling with additional constraints to cope with routing resources and inter-PE data transfers [13]. This approach produces very good results in short time [14].…”

Section: Application Scheduling and Cgra Configurationmentioning

confidence: 99%

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UltraSynth: Insights of a CGRA Integration into a Control Engineering Environment

Wolf

Engel

Ruschke

et al. 2021

J Sign Process Syst

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Coarse Grained Reconfigurable Arrays (CGRAs) or Architectures are a concept for hardware accelerators based on the idea of distributing workload over Processing Elements. These processors exploit instruction level parallelism, while being energy efficient due to their simplistic internal structure. However, the incorporation into a complete computing system raises severe challenges at the hardware and software level. This article evaluates a CGRA integrated into a control engineering environment targeting a Xilinx Zynq System on Chip (SoC) in detail. Besides the actual application execution performance, the practicability of the configuration toolchain is validated. Challenges of the real-world integration are discussed and practical insights are highlighted.

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Section: Application Scheduling and Cgra Configurationmentioning

confidence: 99%

“…The reason is most likely the attraction criterion used during scheduling. Not all PEs are considered to place a node, but only PEs in the neighborhood of the PE to which the predecessing node was mapped [13]. Peaks can be observed for instances that have a longish structure.…”

Section: Scalability-tool Run-timementioning

confidence: 99%