a spatially-adaptive bus interface for low-switching communication (poster session)
Adaptive encoding has shown to be an effective approach to bus power minimization in situations where characterization of the input statistics is not available. In this paper, we propose a novel technique for adaptive bus encoding that, conversely from existing solutions, exploits spatial correlations in the input data being transmitted to increase the accuracy in the dynamic selection of the encoding function. We discuss the encoding algorithm and we describe an architecture for its implementation as bus interface. We present experimental data collected in a realistic simulation framework on a number of meaningful benchmarks, and we compare them to those obtained through the application of existing encoding schemes. Adaptive encoding has shown to be an effective approach to bus power minimization in situations where characterization of the input statistics is not available. In this paper, we propose a novel technique for adaptive bus encoding that, conversely from existing solutions, exploits spatial correlations in the input data being transmitted to increase the accuracy in the dynamic selection of the encoding function. We discuss the encoding algorithm and we describe an architecture for its implementation as bus interface. We present experimental data collected in a realistic simulation framework on a number of meaningful benchmarks, and we compare them to those obtained through the application of existing encoding schemes.
spatial adapt interfaces communication encode effect power minimal situated characterization input statistics paper exploit correlation data accuracy dynamic select functional algorithm architecture implementation experimentation simulation benchmark applications scheme  framework  switch