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Beschreibung:
Binary Decision Diagrams (BDDs) have many applications in todays software engineering. Especially when it comes to feature-model analysis, the performance of the BDD packages becomes important. As BDD packages heavily rely on hash tables, the performance of the used hash table has a significant impact on the overall performance of the package. Especially in multithreaded contexts, no hash table seems to be available yet, which handles the write heavy work load of a BDD package with sufficient performance. In this work, approaches towards parallelized hash tables optimized for the purposes of a BDD package are developed and compared using a benchmark.