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Sumanth Gururajarao

dblp:122/4223 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 77% Integrated circuit design · 15% Processor architecture and microarchitecture · 8%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy-efficient computing › voltage scaling
adaptive voltage scaling
0.112010
SmartReflex Power and Performance Management Technologies for 90 nm, 65 nm, and 45 nm Mobile Application Processors · Proc. IEEE 2010
Energy-efficient computing › power management
dynamic voltage and frequency scaling
0.112010
SmartReflex Power and Performance Management Technologies for 90 nm, 65 nm, and 45 nm Mobile Application Processors · Proc. IEEE 2010
Energy-efficient computing
power management
0.112010
SmartReflex Power and Performance Management Technologies for 90 nm, 65 nm, and 45 nm Mobile Application Processors · Proc. IEEE 2010
Integrated circuit design
low-power circuit design
0.012010
SmartReflex Power and Performance Management Technologies for 90 nm, 65 nm, and 45 nm Mobile Application Processors · Proc. IEEE 2010
Processor architecture and microarchitecture › microprocessor design
mobile application processor
0.012010
SmartReflex Power and Performance Management Technologies for 90 nm, 65 nm, and 45 nm Mobile Application Processors · Proc. IEEE 2010
Integrated circuit design
system-on-chip
0.012010
SmartReflex Power and Performance Management Technologies for 90 nm, 65 nm, and 45 nm Mobile Application Processors · Proc. IEEE 2010

Methods — techniques the papers use, named apart from their topics

split-rail memory design · 0.1process and circuit co-optimization · 0.1adaptive body biasing · 0.1
YearPublicationVenuePosition
2010 SmartReflex Power and Performance Management Technologies for 90 nm, 65 nm, and 45 nm Mobile Application Processors
abstract
In the last couple of decades, handheld wireless devices such as cell phones have become one of the most prolific electronic devices in history. With this has come an exploding demand for performance and features that cover almost every aspect of our digital multimedia interconnected lives including 3-D gaming, still and video cameras, WAN, Bluetooth, high-speed data connections, and so on. As ever increasing features continue to be integrated into these products, there is an ongoing need to develop innovative ways to reduce power consumption and extend battery life. Only through continual process and circuit cooptimization are we able to reap the benefits of technology scaling required to meet the feature and performance demands in the face of increasing process variations and exponentially increasing leakage currents. As a result, SmartReflex power and performance technologies have been developed and applied to 90 nm, 65 nm, and 45 nm system-on-chip (SoC), to achieve optimal power and performance. SmartReflex technologies consist of two major components to optimize SoC power and performance: static and dynamic techniques. Static techniques like power-gating, retention and off-mode are used to lower leakage and allow for extended battery lifetimes for standby times. Dynamic techniques such as dynamic power switching, adaptive voltage scaling, dynamic voltage/frequency scaling with split-rail memories, and adaptive body-biasing address active power and performance challenges. These techniques enable SoC solutions with the performance of the latest process technology and provide the user with advanced multimedia features with orders of magnitude of power reduction.
Gordon Gammie, Alice Wang 0002, Hugh Mair, Rolf Lagerquist, Minh Chau, Philippe Royannez, Sumanth Gururajarao, Uming Ko
Proc. IEEE7