This paper deals with the Java bytecode size optimization. It describes the Java Virtual Machine and the Java class file format. It also presents some tools for the bytecode manipulation. Using these tools, I have analyzed selected data and found sequences of instructions, that could be optimized. Based on the results of the analysis, I have designed and implemented methods for bytecode size optimization. The bytecode size of the selected data was reduced by roughly 25%.

One of the important feature of application specific processors is performance. To maximize it, the compiler must adapt to needs of processor that it is going to compile for and it must generate the most efficient code. One of the ways to do that is to search for appropriate instructions that can be implemented as one instruction with multiple outputs. Afterwards the generated code can be parsed through peephole optimizations that search for instruction patterns and replace them with other instructions to make code more effective. This paper describes the problem of finding and selecting suitable candidates for multiple output instructions. It also provides a brief overview of the few best known algorithms that solve this problem. Eventually it examines possibilities of incorporating this optimizations to LLVM compiler.

The goal of this diploma thesis is to create the functional prototype of intelligent peephole (video doorman) on Raspberry Pi 3B+ platform. It will support face recognition of the people, alternatively authorization by QR code and the record of the situations in form of picture, video, and text. Furthermore, it will allow remote control from Android application with possibility to see live stream of Raspberry Pi’s video in this application. Creation of the project is preceded by brief introduction of Raspberry Pi platform, its alternatives and process of face recognition. Python programming language was primarily used for software development on Raspberry Pi platform. Two approaches were used for image processing, direct processing on Raspberry Pi and on more powerful computer. This work describes use of various modern libraries, platforms, and frameworks, used during the creation of the project, with goal to provide beginners in this field insight into this technology, way of its use, and offer starting point for further work.