Browsing by Subject "profiling"

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Badania przypowierzchniowych warstw geologicznych metodą GPR w warunkach znacznego zawilgocenia
(Data obrony: 2011-02-22) Wojtaszek, Olaf
Wydział Geologii, Geofizyki i Ochrony Środowiska
The GPR method as a non-invasive geophysical method is often used to identification of subsurface layers. The main aim of this paper is to show the usefulness of GPR method for distinguishing subsurface layers under conditions of considerable moisture. The first part of the paper deals with historical survey of GPR equipment and the laws that govern the apparatus. Then, the paper presents and describes the hardware and software that is used for testing. Next section gives a description of the geology of the test site and the research in Brzezno, district of Gdansk, is shown in detail. Finally, a detailed analysis of the collected GPR data is presented. The interpretation of GPR data shows the range of peat deposits and shows the extent of subsurface sediments in the various conditions of considerable moisture. The paper also presents the software that was used in this work for proper interpretation of the data. Results and conclusions clearly show the usefulness of GPR surveys for investigation of subsurface layers under conditions of considerable moisture.
Access status: Restricted ,
Profilowanie kodu wykorzystującego OpenCL
(Data obrony: 2017-01-24) Zdziechowski, Adam
Wydział Geologii, Geofizyki i Ochrony Środowiska
W pracy omówiono temat profilowania kodu źródłowego wykorzystującego technologię OpenCL. Opisana została ogólna architektura i nazewnictwo. Następnie przedstawiono niektóre z technik profilowania kodu na przykładzie operacji mnożenia macierzy. Dodatkowo opisane zostały gotowe narzędzia programistyczne usprawniające korzystanie z technologii OpenCL.
Access status: Open Access ,
Prototyp systemu profilowania pętli kodu źródłowego jako narzędzia analizy kodu w celu efektywnego przyspieszenia obliczeń wielkiej skali
(Wydawnictwa AGH, 2010) Pietroń, Marcin; Russek, Paweł; Wiatr, Kazimierz
This paper presents the research on FPGA based acceleration of HPC applications. The most important step to achieve this goal is to extract code that can be sped up. A major drawback is the lack of a tool which could do it. The HPC applications usually consist of a huge amount of complex source code. This is one of the reasons why the process of acceleration should be as automated as possible. Another reason is to make use of HLL (High Level Languages) such as Mitrion-C and Impulse-C. Loop profiling is one of the steps to check if the insertion of HLL to existing HPC source code is possible to gain acceleration of these applications. Hence the most important step to achieve acceleration is to extract the most time consuming code and data dependency, which makes the code easier to be pipelined and parallelized. Data dependency also gives information on how to implement algorithms in an FPGA circuit with the minimal initialization of it during the execution of algorithms.