IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low power electronics and design
Low Power Digital CMOS Design
Simultaneous Subthreshold and Gate-Oxide Tunneling Leakage Current Analysis in Nanometer CMOS Design
ISQED '03 Proceedings of the 4th International Symposium on Quality Electronic Design
Ultra-low-power DLMS adaptive filter for hearing aid applications
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Considering process variations during system-level power analysis
Proceedings of the 2006 international symposium on Low power electronics and design
Testing On-Die Process Variation in Nanometer VLSI
IEEE Design & Test
Variations-aware low-power design and block clustering with voltage scaling
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Impact of Process and Temperature Variations on Network-on-Chip Design Exploration
NOCS '08 Proceedings of the Second ACM/IEEE International Symposium on Networks-on-Chip
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
System-on-Chip Test Architectures: Nanometer Design for Testability
System-on-Chip Test Architectures: Nanometer Design for Testability
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Variation-tolerant dynamic power management at the system-level
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Variation-aware system-level power analysis
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Uncertainty-aware dynamic power management in partially observable domains
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Hi-index | 0.00 |
We present a new methodology which takes into consideration the effect of Within-Die (WID) process variations on a low-voltage parallel system. We show that in the presence of process variations one should use a higher supply voltage than would otherwise be predicted to minimize the power consumption of a parallel systems. Previous analyses, which ignored WID process variations, provide a lower non-optimal supply voltage which can underestimate the energy/ operation by 8.2X. We also present a novel technique to limit the effect of temperature variations in a parallel system. As temperatures increases, the scheme reduces the power increase by 43% allowing the system to remain at it's optimal supply voltage across different temperatures.