DocumentCode :
528801
Title :
Reducing variability in chip-multiprocessors with adaptive body biasing
Author :
Bonnoit, Alyssa ; Pileggi, Lawrence
Author_Institution :
Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213
fYear :
2010
fDate :
18-20 Aug. 2010
Firstpage :
73
Lastpage :
78
Abstract :
Body biasing has been demonstrated to be effective in addressing process variability in a variety of simple chip designs. Modern microprocessors implement dynamic voltage/frequency scaling, with significant implications for the use of body biasing. For a 16-core chip-multiprocessor implemented in a high-performance 22 nm technology, the body biases required to meet the frequency target at the lowest and highest voltage/frequency levels differ by an average of 0.7 V, implying that per-level biases are required to fully leverage body biasing. The need to make abrupt changes in the bias voltages when the voltage/frequency level changes affects the cost/benefit analysis of body biasing schemes. It is demonstrated that computing unique body biases for each voltage/frequency level at chip power-on offers the best tradeoff among a variety of methods in terms of area, performance, and power.
Keywords :
Analytical models; Computational modeling; Frequency control; Integrated circuit modeling; Microprocessors; Numerical models; Throughput; Body biasing; dynamic voltage/frequency scaling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Low-Power Electronics and Design (ISLPED), 2010 ACM/IEEE International Symposium on
Conference_Location :
Austin, TX, USA
Print_ISBN :
978-1-4244-8588-8
Type :
conf
Filename :
5599023
Link To Document :
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