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Acceleration of Applications on a Supercomputer Using Python
Čelka, Marek ; Jaroš, Jiří (referee) ; Jaroš, Marta (advisor)
Nowadays, all computers we use are capable of parallel processing that saves time in compute-intensive tasks such as scientific computations, various simulations or predictions. The theme of this thesis is acceleration of compute-intensive tasks on supercomputer. This is achieved by the parallelization of the problem. For better understanding the issue by scientists from diverse scientific fields, the python programming language was chosen. Python is very powerful and easy to use as well. The first part of the thesis deals with the parallel processing techniques. The set of microtests was designed and implemented for this purpose. Results are then discussed and used in the further work. The second part of the thesis deals with the problem of parallel image reconstruction. For a comparison, the sequential version of the problem was also implemented. Both versions, sequential and parallel, were tested on a set of images of a different size. Experiments focus on acceleration, spent time, memory bandwidth and latency. These outcomes are also presented and discussed.
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Design and Implementation of the Surveillance Information System
Čelka, Marek ; Jiřík, Leoš (referee) ; Luhan, Jan (advisor)
The main goal of the master thesis is design and implementation of information system for monitoring purposes. The implemented monitoring system will be able to automatically monitor devices of a certain company. This goal is preceded by strategic analysis using PEST and 7S methods for examination of current state of the company. Another part is the analysis of the efficiency of service processes using the HOS method together with the selection of a suitable monitoring system. An enhancement of service processes is designed by the Lewin model. Finally, the selected information system for monitoring was designed, implemented and tested. A deployment of the system should provide simplification of devices supervision, to save costs as well as to speed-up the response-time to unexpected situations.
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Design and Implementation of the Surveillance Information System
Čelka, Marek ; Jiřík, Leoš (referee) ; Luhan, Jan (advisor)
The main goal of the master thesis is design and implementation of information system for monitoring purposes. The implemented monitoring system will be able to automatically monitor devices of a certain company. This goal is preceded by strategic analysis using PEST and 7S methods for examination of current state of the company. Another part is the analysis of the efficiency of service processes using the HOS method together with the selection of a suitable monitoring system. An enhancement of service processes is designed by the Lewin model. Finally, the selected information system for monitoring was designed, implemented and tested. A deployment of the system should provide simplification of devices supervision, to save costs as well as to speed-up the response-time to unexpected situations.
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|
|
Acceleration of Applications on a Supercomputer Using Python
Čelka, Marek ; Jaroš, Jiří (referee) ; Jaroš, Marta (advisor)
Nowadays, all computers we use are capable of parallel processing that saves time in compute-intensive tasks such as scientific computations, various simulations or predictions. The theme of this thesis is acceleration of compute-intensive tasks on supercomputer. This is achieved by the parallelization of the problem. For better understanding the issue by scientists from diverse scientific fields, the python programming language was chosen. Python is very powerful and easy to use as well. The first part of the thesis deals with the parallel processing techniques. The set of microtests was designed and implemented for this purpose. Results are then discussed and used in the further work. The second part of the thesis deals with the problem of parallel image reconstruction. For a comparison, the sequential version of the problem was also implemented. Both versions, sequential and parallel, were tested on a set of images of a different size. Experiments focus on acceleration, spent time, memory bandwidth and latency. These outcomes are also presented and discussed.
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