1000 resultados para Niemi, Marja-Leena


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Summary: Surgical infectious in dog and cats

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Summary: Leishmaniasis and heartworm disease in an imported dog

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This study looks at how increased memory utilisation affects throughput and energy consumption in scientific computing, especially in high-energy physics. Our aim is to minimise energy consumed by a set of jobs without increasing the processing time. The earlier tests indicated that, especially in data analysis, throughput can increase over 100% and energy consumption decrease 50% by processing multiple jobs in parallel per CPU core. Since jobs are heterogeneous, it is not possible to find an optimum value for the number of parallel jobs. A better solution is based on memory utilisation, but finding an optimum memory threshold is not straightforward. Therefore, a fuzzy logic-based algorithm was developed that can dynamically adapt the memory threshold based on the overall load. In this way, it is possible to keep memory consumption stable with different workloads while achieving significantly higher throughput and energy-efficiency than using a traditional fixed number of jobs or fixed memory threshold approaches.

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Summary: A methodology for active enlargement of vocabulary in Inari Saami

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Summary: Serology of Brachyspira hyodysenteriae, causative agent of the swine dysentery

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Summary: Evaluation of some culture methods for recovery of Yersinia enterocolitica

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Väitöksenalkajaisesitelmä Helsingin kauppakorkeakoulussa 2. huhtikuuta 2004

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