Bus-invert coding for low-power I/O
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Bus encoding to prevent crosstalk delay
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
A bus energy model for deep submicron technology
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Analysis and Avoidance of Cross-Talk in On-Chip Buses
HOTI '01 Proceedings of the The Ninth Symposium on High Performance Interconnects
Delayed line bus scheme: a low-power bus scheme for coupled on-chip buses
Proceedings of the 2004 international symposium on Low power electronics and design
Area and Energy-Efficient Crosstalk Avoidance Codes for On-Chip Buses
ICCD '04 Proceedings of the IEEE International Conference on Computer Design
Partitioned bus coding for energy reduction
Proceedings of the 2005 Asia and South Pacific Design Automation Conference
Detecting change in data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
On-Chip Communication Architectures: System on Chip Interconnect
On-Chip Communication Architectures: System on Chip Interconnect
Bus encoding for simultaneous delay and energy optimization
Proceedings of the 13th international symposium on Low power electronics and design
GPH: A group-based partitioning scheme for reducing total power consumption of parallel buses
Microprocessors & Microsystems
Low-energy-transmission of data on submicron interconnects
WSEAS TRANSACTIONS on COMMUNICATIONS
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In this paper, we propose an adaptive low-power bus encoding algorithm based on weighted code mapping (WCM) and the delayed bus technique. The WCM algorithm transforms an original bus data vector to a low-energy code through one-to-one mapping. The code mapping is determined by the data probabilistic distribution in the original sequence. The WCM algorithm considers both the self and coupling capacitance of the bus wires. In addition, we found that applying the delayed-bus technique can further reduce the bus energy. A window-based adaptive encoding algorithm is proposed to improve the energy saving by adaptively changing the code mapping when significant data changes are detected. Experimental results show that the proposed algorithm outperforms the existing heuristic bus encoding algorithms by 20~60% in energy dissipation.