Along with the widespread of smart phone and tablet PC, the battery life and performance has been taken much more seriously and its microprocessor is the critical issue that affects the battery power and performance. In contrast, ordinary PC and workstation has worse power efficiency though having better performance. Also, as the maturely development of mobile-class microprocessors, the performance-per-Watt may better than other performance-driven microprocessors as it’s directed against the power issue. On the other hands, like the other result-driven programs, EDA tools pay lots of attention on the final result while trying to shorten its runtime. Therefore, in this thesis we consider running EDA tools on mobile-class microprocessors and other microprocessors to compare and analyze its behaviors and improve its performance by multi-core parallelization.