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On-the-fly compression in time-domain ultrasound simulations
Klepárník, Petr ; Fura, Łukasz (referee) ; Krupa, Petr (referee) ; Zemčík, Pavel (advisor)
Tato práce navrhuje novou kompresní metodu a její aplikaci v rámci ultrazvukových simulací v časové oblasti se specializací na cílený ultrazvuk o vysoké intenzitě (HIFU). Rozsáhlé numerické simulace HIFU, důležité pro plánování léčby založené na modelu, generují velké množství dat. Při simulaci je obvykle nutné ukládat stovky gigabajtů. Cílem použití této metody je významná úspora výpočetních prostředků při zachování dostatečné kvality simulačních výstupů. V jádru této práce jsou prezentovány experimentální simulace, které ukazují, že navržená kompresní metoda a její využití pro on-the-fly výpočet průměrné akustické intenzity během simulace přináší významné vylepšení. Hlavní výhodou je do značné míry (až 99 %) snížená spotřeba vzácného místa na disku a přibližně stejný nárok na operační paměť během simulace, což může výrazně snížit cenu výpočetní platformy. Komprese neovlivňuje nepříznivě celkovou dobu simulace. Přesnost nové metody byla vyhodnocena prostřednictvím tepelných simulací. Pomocí nové metody je dosaženo v podstatě stejných výsledků při stanovení ablatované tkáně jako u jiných přístupů.
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Installation and configuration of Octave computation cluster
Mikulka, Zdeněk ; Hasmanda, Martin (referee) ; Sysel, Petr (advisor)
This diploma thesis contains detailed design of high-performance cluster, primarely focused for parallel computing in Octave application. Each of component of this cluster is described along with instructions for installation and configuration. Cluster is based on GNU/Linux operating system and Message Parsing Interface. Design alllows implementation of this cluster in computers of schoolroom with active lessons.
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Installation and configuration of Octave computation cluster
Mikulka, Zdeněk ; Hasmanda, Martin (referee) ; Sysel, Petr (advisor)
This diploma thesis contains detailed design of high-performance cluster, primarely focused for parallel computing in Octave application. Each of component of this cluster is described along with instructions for installation and configuration. Cluster is based on GNU/Linux operating system and Message Parsing Interface. Design alllows implementation of this cluster in computers of schoolroom with active lessons.
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Installation and configuration of Octave computation cluster
Mikulka, Zdeněk ; Hasmanda, Martin (referee) ; Sysel, Petr (advisor)
This diploma thesis contains detailed design of high-performance cluster, primarely focused for parallel computing in Octave application. Each of component of this cluster is described along with instructions for installation and configuration. Cluster is based on GNU/Linux operating system and Message Parsing Interface. Design alllows implementation of this cluster in computers of schoolroom with active lessons.
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High-Performance Analytics (HPA)
Soukup, Petr ; Pour, Jan (advisor) ; Novotný, Ota (referee)
The aim of the thesis on the topic of High-Performance Analytics is to gain a structured overview of solutions of high performance methods for data analysis. The thesis introduction concerns with definitions of primary and secondary data analysis, and with the primary systems which are not appropriate for analytical data analysis. The usage of mobile devices, modern information technologies and other factors caused a rapid change of the character of data. The major part of this thesis is devoted particularly to the historical turn in the new approaches towards analytical data analysis, which was caused by Big Data, a very frequent term these days. Towards the end of the thesis there are discussed the system sources which greatly participate in the new approaches to the analytical data analysis as well as in the technological solutions of High Performance Analytics themselves. The second, practical part of the thesis is aimed at a comparison of the performance in conventional methods for data analysis and in one of the high performance methods of High Performance Analytics (more precisely, with In-Memory Analytics). Comparison of individual solutions is performed in identical environment of High Performance Analytics server. The methods are applied to a certain sample whose volume is increased after every round of executed measurement. The conclusion evaluates the tests results and discusses the possibility of usage of the individual High Performance Analytics methods.
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