2016 International Conference on VLSI Systems, Architectures, Technology and Applications (VLSI-SATA) 2016
DOI: 10.1109/vlsi-sata.2016.7593053
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A hierarchical cluster-based model with run-time reconfigurable resource allocation on FPGAs

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Cited by 2 publications
(1 citation statement)
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“…[15] propose a novel high level architecture support for automatic out‐of‐order (OoO) task execution on FPGA‐based heterogeneous MPSoCs, which is composed of a hierarchical middleware with an automatic task level OoO parallel execution engine. Yoosefi and Naji [16] extend the FPGA infrastructure by providing it with a hierarchical cluster‐based model similar to multi‐core systems, and propose a runtime reconfigurable resource allocation approach that reconfigurable resources can join and leave clusters at runtime dynamically based on runtime conditions. Song and Gao [17] design a hardware resource management method based on virtualised modelling for heterogeneous signal processing platform.…”
Section: Related Workmentioning
confidence: 99%
“…[15] propose a novel high level architecture support for automatic out‐of‐order (OoO) task execution on FPGA‐based heterogeneous MPSoCs, which is composed of a hierarchical middleware with an automatic task level OoO parallel execution engine. Yoosefi and Naji [16] extend the FPGA infrastructure by providing it with a hierarchical cluster‐based model similar to multi‐core systems, and propose a runtime reconfigurable resource allocation approach that reconfigurable resources can join and leave clusters at runtime dynamically based on runtime conditions. Song and Gao [17] design a hardware resource management method based on virtualised modelling for heterogeneous signal processing platform.…”
Section: Related Workmentioning
confidence: 99%