2018 International Conference on ReConFigurable Computing and FPGAs (ReConFig) 2018
DOI: 10.1109/reconfig.2018.8641731
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Ant Colony Optimization based Module Footprint Selection and Placement for Lowering Power in Large FPGA Designs

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Cited by 3 publications
(3 citation statements)
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“…However, the ANN model is specific to the target FPGA which requires a one-time training process. In [11] we presented a methodology to use the ANN based performance estimator to obtain candidate shapes and placements for all the modules in the design and hence select the best module shape and placement for each module in order to complete the compilation process. The placement decision in that work aims to lower routing power dissipation by reducing the distance between modules with higher inter- module data-flow.…”
Section: Background and Related Workmentioning
confidence: 99%
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“…However, the ANN model is specific to the target FPGA which requires a one-time training process. In [11] we presented a methodology to use the ANN based performance estimator to obtain candidate shapes and placements for all the modules in the design and hence select the best module shape and placement for each module in order to complete the compilation process. The placement decision in that work aims to lower routing power dissipation by reducing the distance between modules with higher inter- module data-flow.…”
Section: Background and Related Workmentioning
confidence: 99%
“…Fig. 14 shows the performance of benchmark applications achieved using default Quartus compilation, our preliminary subsystem mapping technique in [11] and using our subsystem mapping methodology with proposed modifications. It is evident that our methodology marginally improves frequency while significantly reducing power dissipation.…”
Section: A Evaluation Of Subsystem Grouping and Mapping Techniquementioning
confidence: 99%
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