Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

You searched for subject:(are capable of operating at multiple voltages AND frequencies By switching these voltages AND frequencies to lower values based upon power requirements). One record found.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters

1. Mallangi, Siva Sai Reddy. Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip.

Degree: Information and Communication Technology (ICT), 2017, KTH

Multi functional health monitoring wearable devices are quite prominent these days. Usually these devices are battery-operated and consequently are limited by their battery life (from few hours to a few weeks depending on the application). Of late, it was realized that these devices, which are currently being operated at fixed voltage and frequency, are capable of operating at multiple voltages and frequencies. By switching these voltages and frequencies to lower values based upon power requirements, these devices can achieve tremendous benefits in the form of energy savings. Dynamic Voltage and Frequency Scaling (DVFS) techniques have proven to be handy in this situation for an efficient trade-off between energy and timely behavior. Within imec, wearable devices make use of the indigenously developed MUSEIC v2 (Multi Sensor Integrated circuit version 2.0). This system is optimized for efficient and accurate collection, processing, and transfer of data from multiple (health) sensors. MUSEIC v2 has limited means in controlling the voltage and frequency dynamically. In this thesis we explore how traditional DVFS techniques can be applied to the MUSEIC v2. Experiments were conducted to find out the optimum power modes to efficiently operate and also to scale up-down the supply voltage and frequency. Considering the overhead caused when switching voltage and frequency, transition analysis was also done. Real-time and non real-time benchmarks were implemented based on these techniques and their performance results were obtained and analyzed. In this process, several state of the art scheduling algorithms and scaling techniques were reviewed in identifying a suitable technique. Using our proposed scaling technique implementation, we have achieved 86.95% power reduction in average, in contrast to the conventional way of the MUSEIC v2 chip’s processor operating at a fixed voltage and frequency. Techniques that include light sleep and deep sleep mode were also studied and implemented, which tested the system’s capability in accommodating Dynamic Power Management (DPM) techniques that can achieve greater benefits. A novel approach for implementing the deep sleep mechanism was also proposed and found that it can obtain up to 71.54% power savings, when compared to a traditional way of executing deep sleep mode.

Nuförtiden så har multifunktionella bärbara hälsoenheter fått en betydande roll. Dessa enheter drivs vanligtvis av batterier och är därför begränsade av batteritiden (från ett par timmar till ett par veckor beroende på tillämpningen). På senaste tiden har det framkommit att dessa enheter som används vid en fast spänning och frekvens kan användas vid flera spänningar och frekvenser. Genom att byta till lägre spänning och frekvens på grund av effektbehov så kan enheterna få enorma fördelar när det kommer till energibesparing. Dynamisk skalning av spänning och frekvens-tekniker (såkallad Dynamic Voltage and Frequency Scaling, DVFS) har visat sig vara användbara i detta sammanhang för en effektiv avvägning…

Subjects/Keywords: Multi functional health monitoring wearable devices are quite prominent these days. Usually these devices are battery-operated and consequently are limited by their battery life (from few hours to a few weeks depending on the application). Of late; it was realized that these devices; which are currently being operated at fixed voltage and frequency; are capable of operating at multiple voltages and frequencies. By switching these voltages and frequencies to lower values based upon power requirements; these devices can achieve tremendous benefits in the form of energy savings. Dynamic Voltage and Frequency Scaling (DVFS) techniques have proven to be handy in this situation for an efficient trade-off between energy and timely behavior. Within imec; wearable devices make use of the indigenously developed MUSEIC v2 (Multi Sensor Integrated circuit - version 2.0). This system is optimized for efficient and accurate collection; processing; and transfer of data from multiple (health) sensors. MUSEIC v2 has limited means in controlling the voltage and frequency dynamically. In this thesis we explore how traditional DVFS techniques can be applied to the MUSEIC v2. Experiments were conducted to find out the optimum power modes to efficiently operate and also to scale up-down the supply voltage and frequency. Considering the overhead caused when switching voltage and frequency; transition analysis was also done. Real-time and non real-time benchmarks were implemented based on these techniques and their performance results were obtained and analyzed. In this process; several state of the art scheduling algorithms and scaling techniques were reviewed in identifying a suitable technique. Using our proposed scaling technique implementation; we have achieved 86.95% power reduction in average; in contrast to the conventional way of the MUSEIC v2 chip’s processor operating at a fixed voltage and frequency. Techniques that include light sleep and deep sleep mode were also studied and implemented; which tested the system’s capability in accommodating Dynamic Power Management (DPM) techniques that can achieve greater benefits. A novel approach for implementing the deep sleep mechanism was also proposed and found that it can obtain up to 71.54% power savings; when compared to a traditional way of executing deep sleep mode. Keywords - low-power; DVFS; DPM; energy; wearable devices; voltage and frequency scal- ing; låg effekt; DVFS; DPM; energi; bärbara enheter; spänning och frekvensskalning; Computer and Information Sciences; Data- och informationsvetenskap; Electrical Engineering, Electronic Engineering, Information Engineering; Elektroteknik och elektronik

…circuit power (Pshort ) that are related to transitions at the gate level. Each of… …x28;or a default frequency : 10.4 MHz). However, MUSEIC is capable of operating at… …These have helped to a great extent in identifying the dominant sources of power dissipation… …which spared the evolution of optimizing techniques to reduce power consumption. At the gate… …power consumption of components that are not effected by processor speed. P (s) = K3… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mallangi, S. S. R. (2017). Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229443

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mallangi, Siva Sai Reddy. “Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip.” 2017. Thesis, KTH. Accessed January 24, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229443.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mallangi, Siva Sai Reddy. “Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip.” 2017. Web. 24 Jan 2020.

Vancouver:

Mallangi SSR. Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip. [Internet] [Thesis]. KTH; 2017. [cited 2020 Jan 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229443.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mallangi SSR. Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229443

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.