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- W2949580191 abstract "Linear models are regularly used for mapping cores to tiles in a chip. System-on-Chip (SoC) design requires integration of functional units with varying sizes, but conventional models only account for identical-sized cores. Linear models cannot calculate the varying areas of cores in SoCs directly and must rely on approximations. We propose using non-linear models: Semi-definite programming (SDP) allows easy model definitions and achieves approximately 20% reduced area and up to 80% reduced white space. As computational time is similar to linear models, they can be applied, practically." @default.
- W2949580191 created "2019-06-27" @default.
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- W2949580191 date "2019-05-01" @default.
- W2949580191 modified "2023-10-18" @default.
- W2949580191 title "Area Optimization with Non-Linear Models in Core Mapping for System-on-Chips" @default.
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- W2949580191 doi "https://doi.org/10.1109/mocast.2019.8742035" @default.
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