Bus-invert coding for low-power I/O
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Synthesis of low-overhead interfaces for power-efficient communication over wide buses
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
A coding framework for low-power address and data busses
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Information-theoretic bounds on average signal transition activity
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A$^{\mbox{\huge\bf 2}}$BC: adaptive address bus coding for low power deep sub-micron designs
Proceedings of the 38th annual Design Automation Conference
ETAM++: Extended Transition Activity Measure for Low Power Address Bus Designs
ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
A dictionary-based en/decoding scheme for low-power data buses
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on low power
Approximate arithmetic coding for bus transition reduction in low power designs
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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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.