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Showing result 1 - 5 of 12 essays matching the above criteria.

1. 1. Optimizing Energy Consumption in a Real-Time System Using Artificial Intelligence

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Caroline Lisa Pereira; [2023]
   Keywords : ;

   Abstract : In energy-efficient real-time embedded system design, the objective is to reduce energy consumption while meeting the tasks' timing requirements. Real-time Dynamic Voltage and Frequency Scaling (DVFS) methods aim at achieving this by scaling the frequency at which a single processor or multiple processors in the system operate, but they often assume that the tasks' deadlines are known and their arrival times are regular. READ MORE

3. 2. Profiling memory accesses on the ODROID-XU4

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Erik Österberg; [2017]
   Keywords : ;

   Abstract : Decoupled Access-Execute(DAE) is an innovative approach to optimize energy consumption of computer programs by splitting the program into two tasks; the first task is to access data, this is profoundly memory-bound and can be done with energy efficient cores. The second task is to execute and compute the data, which iscompute-bound and can be done with powerful cores. READ MORE

4. 3. Feedback Compilation for Decoupled Access-Execute Techniques

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Wenting Jin; [2017]
   Keywords : ;

   Abstract : Software level optimization for compilers has become a major research field.Dynamic Voltage Frequency Scaling (DVFS) technology gives some options for optimization, such as tweaking the voltage or frequency. READ MORE

5. 4. An Evaluation of Decoupled Access Execute on ARMv8

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Georgios Petrousis; [2017]
   Keywords : ;

   Abstract : Energy saving techniques on the hardware level are not always capable of adapting to the applications. Thus energy saving techniques at software level are needed to overcome the limitations of the hardware. Dynamic Voltage Frequency Scaling (DVFS)is one of the most widely used techniques to scale down the voltage and frequency atruntime as needed. READ MORE

6. 5. Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip

   University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

   Author : Siva Sai Reddy Mallangi; [2017]
   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;

   Abstract : 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). READ MORE