Clustered voltage scaling technique for low-power design
ISLPED '95 Proceedings of the 1995 international symposium on Low power design
ISLPED '95 Proceedings of the 1995 international symposium on Low power design
Power minimization in IC design: principles and applications
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Data driven signal processing: an approach for energy efficient computing
ISLPED '96 Proceedings of the 1996 international symposium on Low power electronics and design
Datapath scheduling with multiple supply voltages and level converters
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Energy minimization using multiple supply voltages
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low power electronics and design
Voltage scheduling problem for dynamically variable voltage processors
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
Behavioral Synthesis for low Power
ICCS '94 Proceedings of the1994 IEEE International Conference on Computer Design: VLSI in Computer & Processors
Datapath Scheduling using Dynamic Frequency Clocking
ISVLSI '02 Proceedings of the IEEE Computer Society Annual Symposium on VLSI
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Multivoltage scheduling (MVS) for datapaths offers the energy savings of voltage scaling on a per-operation basis with a voltage aware operator scheduling. This work investigates the effect of using multivoltage register file storage in operator graph scheduling for multivoltage datapaths, thus partitioning the variable storage space on the basis of operating voltages. Scheduling operations on multivoltage functional units lowers the energy-delay product by exploiting slack in the schedule. We find that using multivoltage partitioned register files do the same by exploiting the variable lifetimes in the schedule. In a resource constrained context, longer variable lifetimes provide the opportunity to store such variables in low voltage register files. A ZOLP formulation for the resource constrained MVS problem is presented along with energy-delay savings obtained from applying this formulation to image processing transform graphs.