TY - JOUR AU - Faustino, Anderson AU - Cardoso, Adriano Ferrari AU - Tonetti, Caio Henrique Segawa PY - 2020/05/15 Y2 - 2024/03/28 TI - Enhancing the Jikes RVM Adaptive Optimization System JF - IEEE Latin America Transactions JA - IEEE LAT AM T VL - 18 IS - 7 SE - Articles DO - UR - https://latamt.ieeer9.org/index.php/transactions/article/view/170 SP - 1185-1192 AB - <p>An important component of modern virtual machines is the Adaptive Optimization System, which decides what methods to optimize and its level of optimization. In this context, this paper presents the development of a new Adaptive Optimization System of the Jikes virtual machine, which is able to obtain better performance over the traditional system. The results indicate that the proposal presented is capable of achieving 25% better average performance, at a cost of less than 10% of the total execution time.</p> ER -