2014 IEEE International Parallel &Amp; Distributed Processing Symposium Workshops 2014
DOI: 10.1109/ipdpsw.2014.32
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PaRA-Sched: A Reconfiguration-Aware Scheduler for Reconfigurable Architectures

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Cited by 13 publications
(20 citation statements)
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“…In [12], the authors present the PaRA-Sched automated design methodology. This takes into account DPR in the scheduling infrastructure to improve overall performance by automatically masking reconfiguration time when possible.…”
Section: Related Workmentioning
confidence: 99%
“…In [12], the authors present the PaRA-Sched automated design methodology. This takes into account DPR in the scheduling infrastructure to improve overall performance by automatically masking reconfiguration time when possible.…”
Section: Related Workmentioning
confidence: 99%
“…In literature there are many approaches addressing variants of the RCSP problem that rely on heuristic algorithms ( [2], [5]- [7], [10], [11]) and exact algorithms ( [2]- [4], [8], [12]). What follows is a description of these works in which we highlight their contributions and limitations.…”
Section: Related Workmentioning
confidence: 99%
“…Another approach is suggested in [2], where, by means of a reconfiguration-aware scheduler called Napoleon, it targets FPGA-based architectures with more than one 2D reconfigurator and takes into account both module reuse and reconfiguration prefetching, but it only optimizes the schedule duration. A last noteworthy heuristic is PaRA-Sched [10], a scheduler that takes advantage of Ant Colony Optimization (ACO). The algorithm considers all the previous cited features and techniques during the design space exploration.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The exploration phase represented in Figure 1 starts from reading 4 input parameters from the XML files, which are the application task graph, the architecture description, the implementations associated with each task and the Design Space Exploration parameters to be used. After analyzing the input task graph, the toolchain assembles the information into an intermediate representation format that will be further manipulated by the mapper [9] and the scheduler [10]. After this initial step, the task graph is manipulated by the mapper, which will tightly interact with the scheduler to generate a mapping characterized by some performance metrics like execution time (an information computed by the scheduler) and the amount of utilized resources, which is computed from the board specifications and implementation details.…”
Section: Toolchain For Hw/sw Codesignmentioning
confidence: 99%