A parallel, real-time benchmark suite

Today, real-time systems are widely used. Some of these areas are automotive industry, aviation industry, military systems etc. People who work on real-time systems should compare their systems with alternative systems. For this purpose, they use benchmark applications. The worst-case execution time concept for real-time systems is critical. Therefore, worst-case execution time analysis tools and methods are developed. These tools and methods are also need to be compared. Therefore, benchmark applications are also needed that targets these tools and methods. The concept of parallel programming has gained importance as multiprocessor/multi-core systems become widespread. Therefore, these systems should also be compared from the point of view of paralel programming. In this thesis, a parallel, real-time benchmark suite, PBench is designed and developed. The PBench includes multi-threaded and single-threaded applications that provide solution to different problems.