Reliable and energy-efficient digital signal processing
N Shanbhag - Proceedings of the 39th annual Design Automation …, 2002 - dl.acm.org
Proceedings of the 39th annual Design Automation Conference, 2002•dl.acm.org
This paper provides an overview of algorithmic noise-tolerance (ANT) for designing reliable
and energy-efficient digital signal processing systems. Techniques such as prediction-
based, error cancellation-based, and reduced precision redundancy based ANT are
discussed. Average energy-savings range from 67% to 71% over conventional systems.
Fluid IP core generators are proposed as a means of encapsulating the benefits of an ANT-
based low-power design methodology. CAD issues resident in such a methodology are also …
and energy-efficient digital signal processing systems. Techniques such as prediction-
based, error cancellation-based, and reduced precision redundancy based ANT are
discussed. Average energy-savings range from 67% to 71% over conventional systems.
Fluid IP core generators are proposed as a means of encapsulating the benefits of an ANT-
based low-power design methodology. CAD issues resident in such a methodology are also …
This paper provides an overview of algorithmic noise-tolerance (ANT) for designing reliable and energy-efficient digital signal processing systems. Techniques such as prediction-based, error cancellation-based, and reduced precision redundancy based ANT are discussed. Average energy-savings range from 67% to 71% over conventional systems. Fluid IP core generators are proposed as a means of encapsulating the benefits of an ANT-based low-power design methodology. CAD issues resident in such a methodology are also discussed.