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C#-JavaScript Transpiler for DotVVM
Mrnuštík, Michal ; Ryšavý, Ondřej (referee) ; Pluskal, Jan (advisor)
Aim of this thesis is to solve issue of transpiling server code written in C# to client-side JavaScript code, so it could be run in the browser. And then implementing the proposed solution. Next goal is to integrate this solution into framework DotVVM and develop an application demonstrating this techonology.
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PetNetSim Library Computation Performace Optimization
Dražka, Vojtěch ; Holoubek, Tomáš (referee) ; Dobrovský, Ladislav (advisor)
The aim of the thesis was to optimize the computation speed of the PetNetSim library, which is currently implemented in Python. The purpose of the thesis was to approach the optimization from a broader perspective and try to speed up Python using various techniques. The thesis explores the solutions available in the form of alternative interpreters, extending modules, trans-compilation methods and the possibility of developing the computational core as a module written in the system language. The practical part describes efforts to implement these methods and their comparison. Furthermore, the multiprocessing method is implemented and the procedure for developing the computational core as an extending module is outlined.
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Octave to C++ Source-to-Source Compiler
Ševčík, Václav ; Křivka, Zbyněk (referee) ; Kolář, Martin (advisor)
It is difficult to use programs developed in the interactive programming environment Matlab for low-memory devices and for integration into projects without the language support. Therefore, the programs are converted into C++. In practice, manual transfer is used which significantly prolongs the time of the developing program. The work focuses on the automation of translation from Octave/Matlab to C++ using the Eigen library to enable matrix and vector operations. The translator allows 39 basic operations and 13 functions of the Octave language. Experiments show that this translation will reduce memory requirements of up to 99%
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Translation Among Higher Programming Languages
Knapovský, Jan ; Kožár, Tomáš (referee) ; Meduna, Alexandr (advisor)
With the development of new technologies, programming languages and their devices the need arises for existing codebases to be updated and upgraded to use such devices and technologies, to preserve the maintainability and sustainability of such systems. This thesis proposes the use of automatised means to aid such efforts – a transpiler.
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PetNetSim Library Computation Performace Optimization
Dražka, Vojtěch ; Holoubek, Tomáš (referee) ; Dobrovský, Ladislav (advisor)
The aim of the thesis was to optimize the computation speed of the PetNetSim library, which is currently implemented in Python. The purpose of the thesis was to approach the optimization from a broader perspective and try to speed up Python using various techniques. The thesis explores the solutions available in the form of alternative interpreters, extending modules, trans-compilation methods and the possibility of developing the computational core as a module written in the system language. The practical part describes efforts to implement these methods and their comparison. Furthermore, the multiprocessing method is implemented and the procedure for developing the computational core as an extending module is outlined.
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C#-JavaScript Transpiler for DotVVM
Mrnuštík, Michal ; Ryšavý, Ondřej (referee) ; Pluskal, Jan (advisor)
Aim of this thesis is to solve issue of transpiling server code written in C# to client-side JavaScript code, so it could be run in the browser. And then implementing the proposed solution. Next goal is to integrate this solution into framework DotVVM and develop an application demonstrating this techonology.
|
|
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Octave to C++ Source-to-Source Compiler
Ševčík, Václav ; Křivka, Zbyněk (referee) ; Kolář, Martin (advisor)
It is difficult to use programs developed in the interactive programming environment Matlab for low-memory devices and for integration into projects without the language support. Therefore, the programs are converted into C++. In practice, manual transfer is used which significantly prolongs the time of the developing program. The work focuses on the automation of translation from Octave/Matlab to C++ using the Eigen library to enable matrix and vector operations. The translator allows 39 basic operations and 13 functions of the Octave language. Experiments show that this translation will reduce memory requirements of up to 99%
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