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1	Analyzing and Reducing Compilation Times for C++ Programs Mivelli, Dennis January 2022 (has links) Software companies often choose to develop in C++ because of the high performance that the language offers. Facilitated by static compilation and powerful optimization options, runtime performance is paid for with compilation time. Although the trade-off is inevitable to some extent, building very large C++ programs from scratch can take up to several hours if extra care is not taken during development. This thesis analyzes compilation times for C++ programs and shows how they can be reduced with the help of design patterns, implementation hiding, and framework related fixes. The results presented prove that compilation times can be decreased significantly with no drawbacks to the maintainability of a program. An in-depth analysis of compilation times and dependencies has been conducted for two large software modules from a representative company. Both modules take over an hour of CPU time each to compile. The time consumption for different compiler activities, such as parsing, preprocessing, and runtime optimization tasks have been measured for the modules. The compilation times for unit tests and mocks which use the GoogleTest framework have been analyzed. A simple method that may reduce compilation times by up to 50% for programs that use GoogleTest is presented. A dependency metric has been created, based on the number of include statements found recursively throughout a program. The dependency metric was found to be connected to compilation time for the two analyzed modules. Other factors that can influence compilation times are also shown, such as runtime optimization options, and the use of templates. Experiments which show how a typical usage of templates can drastically increase compilation times are presented. In addition, a solution which allows templates to be used while avoiding code bloat across translation units is reviewed. The solution effectively rivals non-template code in terms of compilation time. The Pointer to Implementation (PImpl) and Dependency Injection design patterns have been used to refactor a small program. Both design patterns performed well, reducing the total compilation time and total compiler memory usage by 70%. A program that detects dependency cycles has been created, but no cycles were found in any of two modules from the representative company. C++ Compilation Build Dependencies File Dependencies File inclusions Time Speed Compilation time Build time Design patterns PImpl Bridge Dependency injection Pointer to implementation Mocking GoogleTest gMock large large-scale Reduce Reduce compilation times Reduce build times C++ Kompilering Byggtid Beroenden Filberoenden Filinkluderingar Tid Hastighet Kompileringstid Designmönster PImpl Bridge Dependency injection Pointer to implementation Mockning Mocking GoogleTest gMock Storskalig Minska kompileringstid Minska Computer Sciences Datavetenskap (datalogi)
2	Systém pro kontinuální integraci projektu k-Wave / Continuous Integration System for the k-Wave Project Nečas, Radek January 2016 (has links) The main goal of this thesis is to describe the implementation of continuous integration into the k-Wave project. The thesis focuses primarily on the version written in the C/C++ language with the usage of the OpenMP library which typically runs on supercomputers. Accordingly, many of popular workflows and approaches ought to be adapted, a few more created. The outcome of the thesis is a complete solution with real and practical usage. The author provides design, tools selection, runtime environment administration and configuration for each one of the used services. Software implementation of the basic framework is used in order to utilize running tests on the supercomputers. Furthermore, the implementation of chosen types of regression and unit tests are performed. Realisation is based on Gitlab and Jenkis services that are running on separated Docker containers.

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Analyzing and Reducing Compilation Times for C++ Programs

Systém pro kontinuální integraci projektu k-Wave / Continuous Integration System for the k-Wave Project