During execution, data is collected on the actual execution times per executable element, thus allowing validation of the real-time execution against the scheduling algorithm defined in the model.
在执行期间，在每一个可执行元素的实际执行过程中都会收集数据，根据模型中所定义的安排规则来确认实际的执行时间。
Then the mechanism of Simulated Annealing is import in the algorithm above to decrease the execution time and quickens the velocity of convergence.
然后，为了加快遗传算法的收敛速度减少算法执行时间引入模拟退火机制对上述算法进行优化。
Time-based cache attacks analyzes the time difference in the execution of algorithm over a processor, and recovers the secret key.
基于时间的缓存攻击是指通过分析处理器中算法的不同执行时间来恢复密钥的攻击。
This paper focus on the research of load balancing algorithm and parallel execution time prediction for parallel computing systems.
本文主要研究并行计算系统中的负载平衡算法与并行执行时间预测问题。
The heuristic algorithm is the gain of the execution time. The partitioning model is constructed and the result is searched.
给出了系统划分模型，使用执行时间最少的增益函数启发下一步动作的启发算法。
Experimental results show that the path feasibility analysis of traditional symbolic evaluation can be omitted. So it can reduce the time complexity by using symbolic execution algorithm.
实例结果表明，该算法能免去传统符号执行中对于路径可行性的分析，从而降低时间复杂度。
Simulation results show that, this algorithm can improve the SNR of de-noised signal, reduce the MSE and the execution time, and is very suitable for the DSP realization, has certain practical value.
仿真结果表明，该算法能够提高去噪后信号的信噪比SNR，降低去噪后的均方误差百分值mse，降低了算法的执行时间，且适宜于算法的DSP实现，具有一定的实用价值。
In this dissertation, the authors studied and analyzed an algorithm predicting the execution time of task by the linear relationship between host load and the execution time of task.
结合主机负载和任务执行时间的线性关系，研究分析了一种基于主机负载的任务执行时间预测算法。
In order to provide the maximal execution time for the primaries, the FT-MT algorithm reserves time intervals as late as possible for all the alternates before their deadlines.
该算法在系统运行前预先分配替代版本的执行区间，使得替代版本在其截止期内尽可能地推迟执行，为主版本的完成提供了最大的可执行时间。
The experimental results show the algorithm is simple and easy-to-implement, and is satisfactory in execution time and recognition rate.
实验结果表明，该算法简单易实现，在执行时间及识别率上均取得了令人满意的效果。
The simulation results show that MCUD algorithm further decreases the total execution cost and total execution time while meeting the user-designated deadline in comparison with other algorithms.
仿真实验表明，MCUD相比于其他算法，在满足总的最后期限的前提下更进一步地降低了执行成本和执行时间。
In addition, the new algorithm can save up to 50% execution time while possessing similar accuracy as SMC-PHDF.
同时，在两种算法跟踪精度接近的情况下，所提算法节省了50%的运行时间。
In addition, the new algorithm can save up to 50% execution time while possessing similar accuracy as SMC-PHDF.
同时，在两种算法跟踪精度接近的情况下，所提算法节省了50%的运行时间。
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