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Description:
The quest for more performance of applications and systems became more challenging in the recent years. Especially in the cyber-physical and mobile domain, the performance requirements increased significantly. Applications, previously found in the high-performance domain, emerge in the area of resource-constrained domain. Modern heterogeneous high-performance MPSoCs provide a solid foundation to satisfy the high demand. Such systems combine general processors with specialized accelerators ranging from GPUs to machine learning chips. On the other side of the performance spectrum, the demand for small energy efficient systems exposed by modern IoT applications increased vastly. Developing efficient software for such resource-constrained multi-core systems is an error-prone, time-consuming and challenging task. This thesis provides with PA4RES a holistic semiautomatic approach to parallelize and implement applications for such platforms efficiently. Our solution supports the developer to find good trade-offs to tackle the requirements exposed by modern applications and systems. With PICO, we propose a comprehensive approach to express parallelism in sequential applications. PICO detects data dependencies and implements required synchronization automatically. Using a genetic algorithm, PICO optimizes the data synchronization. The evolutionary algorithm considers channel capacity, memory mapping, channel merging and flexibility offered by the channel implementation with respect to execution time, energy consumption and memory footprint. PICO's communication optimization phase was able to generate a speedup almost 2 or an energy improvement of 30% for certain benchmarks. The PAMONO sensor approach enables a fast detection of biological viruses using optical methods. With a sophisticated virus detection software, a real-time virus detection running on stationary computers was achieved. Within this thesis, we were able to derive a soft real-time capable virus detection running on a high-performance embedded system, ...