KIT | KIT-Bibliothek | Impressum | Datenschutz

Resilient Energy-Constrained Microprocessor Architectures

Gebregiorgis, Anteneh

Abstract (englisch):

In the past years, we have seen a tremendous increase in small and battery-powered devices
for sensing, wireless communication, data processing, classification, and recognition tasks.
Collectively referred to as the Internet of Things (IoT), all these devices have a huge impact on
several aspects of our day-to-day life. Since IoT devices need to be portable and lightweight,
they depend on battery or environmental harvested-energy as their primary energy source.
As a result, IoT devices have to operate on a limited energy envelope in order to increase
the supply duration of their energy source. In order to meet the stringent energy-budget of
battery-powered IoT devices, extreme-low energy design has become a standard requirement.
In this regard, supply voltage downscaling has been used as an effective approach for reducing
the energy consumption of Complementary Metal Oxide Semiconductor (CMOS) circuits and
enable ultra-low power operation. Although aggressive supply voltage downscaling is a popular
approach for extreme-low power operation, it reduces the performance significantly. In this
regard, operating in the near-threshold voltage domain (commonly known as NTC) could
... mehr


Volltext §
DOI: 10.5445/IR/1000094270
Veröffentlicht am 07.05.2019
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technische Informatik (ITEC)
Publikationstyp Hochschulschrift
Publikationsjahr 2019
Sprache Englisch
Identifikator KITopen-ID: 1000094270
Verlag Karlsruher Institut für Technologie (KIT)
Umfang XXI, 113 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Technische Informatik (ITEC)
Prüfungsdatum 03.05.2019
Schlagwörter Computer Architecture, NTC, low-power design, reliability, cache design, pipeline design, soft error
Referent/Betreuer Tahoori, M.
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page