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Accurate estimation of power at the system level is essential for system-on-chip (SoC) architects. The integration of heterogeneous processors like CPUs and emerging coarse-grained reconfigurable architectures (CGRAs) in SoCs significantly complicates the power-estimation process. This brief presents an accurate and efficient system-level power modeling framework, power modeling with a customized...
The popularity of SVMs has grown tremendously in the last few years for many different classification problems due to its generalization properties, however training SVMs require high computational power. Platt's SMO is one the fastest algorithm for training support vector machines, which takes the decomposition technique to the extreme by selecting a set of only two points as the working set then...
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