Matches in SemOpenAlex for { <https://semopenalex.org/work/W2399156730> ?p ?o ?g. }
- W2399156730 abstract "Over the past decade, processors have drastically reduced their power consumption. With each new processor generation, new features enhancing the processor energy efficiency are added. However, the demand for energy reduction techniques has never been so high. Indeed, with the increasing size of high performance machines, their power and energy consumptions have grown accordingly. They have reached a point where they have to be reduced by all possible means. Current processors allow an interesting feature, they can change their operating frequency at run-time. As granted by transistor physics, lower frequency means lower power consumption and hopefully, lower energy consumption. This thesis investigates to which extent this processor feature, called DVFS, can be used to save energy. First, a simple machine is analyzed to have a complete understanding of the different power consumers and where optimizations can be focused. It will be demonstrated that only fans and processors allow run-time energy optimizations. Between the two, the processor shows the highest consumption, therefore potentially exposing the higher potential for energy savings.Second, the power consumption of a processor depends on the applications being executed. However, there are as many applications as problems to solve. The focus is then put on applications to understand their impacts on energy consumption. Based on the gathered insights, multiple tools targeting energy savings on a single processor are created. REST, the most naive, tries to adapt the processor state to the stress generated by the application, hoping for energy reduction. The second, UtoPeak, computes the maximum energy reduction one can expect for any tool using DVFS. It allows to evaluate the efficiency of such systems. The last one, FoREST, was created in order to correct all the flaws of REST and target maximum energy reduction.Last, scientific applications generally need more than one processor to be executed in a decent time. The thesis also presents a first attempt to compute a lower bound in energy reduction when considering this new execution context." @default.
- W2399156730 created "2016-06-24" @default.
- W2399156730 creator A5050313296 @default.
- W2399156730 date "2015-09-18" @default.
- W2399156730 modified "2023-09-25" @default.
- W2399156730 title "Energy Characterization and Savings in Single and Multiprocessor Systems : understanding how much can be saved and how to achieve it in modern systems" @default.
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