This paper presents an algorithm for computing a linear recurrence system R(n,m)of order m for n equations on MIMD parallel system.This algorithm is not only easy to be programmed on a parallel computer system,but als...This paper presents an algorithm for computing a linear recurrence system R(n,m)of order m for n equations on MIMD parallel system.This algorithm is not only easy to be programmed on a parallel computer system,but also reduces the data-waiting time due to compute-ahead strategy.The paper analyses how to achieve maximal load balancing when the algorithm is implemented on MIMD parallel system.By the end of the paper,an analysis on the speedup and parallel efficiency are given.The results indicate that the new parallel elimination algorithm has great improvement compared with the old ones.展开更多
间隔重复学习方法在辅助学生自主学习方面发挥了重要的作用;然而传统的间隔重复算法在间隔控制上过于僵化,导致学生每日的学习任务量差异明显,进而影响学习效率。为了提升自主学习效率,提出了一种基于ACT-R(Adaptive Control of Thought...间隔重复学习方法在辅助学生自主学习方面发挥了重要的作用;然而传统的间隔重复算法在间隔控制上过于僵化,导致学生每日的学习任务量差异明显,进而影响学习效率。为了提升自主学习效率,提出了一种基于ACT-R(Adaptive Control of Thought-Rational)的认知间隔重复学习方法。首先,基于ACT-R规划学习过程,模拟学生学习行为并提取主导模型记忆变化的激活参数;其次,提出了遗忘曲线切割算法,将遗忘特性反映到学习规划之中,并提取记忆留存率与推荐复习间隔等参数;最后,基于二者所得学习参数,针对特定的学习任务动态地生成间隔重复学习规划。实验结果表明,相较于传统的间隔重复学习算法,基于ACT-R的认知间隔重复学习方法可以合理有效地安排自主学习任务,每日学习任务量更加均衡,每个任务的学习时间分布也更加合理。展开更多
文摘This paper presents an algorithm for computing a linear recurrence system R(n,m)of order m for n equations on MIMD parallel system.This algorithm is not only easy to be programmed on a parallel computer system,but also reduces the data-waiting time due to compute-ahead strategy.The paper analyses how to achieve maximal load balancing when the algorithm is implemented on MIMD parallel system.By the end of the paper,an analysis on the speedup and parallel efficiency are given.The results indicate that the new parallel elimination algorithm has great improvement compared with the old ones.
文摘间隔重复学习方法在辅助学生自主学习方面发挥了重要的作用;然而传统的间隔重复算法在间隔控制上过于僵化,导致学生每日的学习任务量差异明显,进而影响学习效率。为了提升自主学习效率,提出了一种基于ACT-R(Adaptive Control of Thought-Rational)的认知间隔重复学习方法。首先,基于ACT-R规划学习过程,模拟学生学习行为并提取主导模型记忆变化的激活参数;其次,提出了遗忘曲线切割算法,将遗忘特性反映到学习规划之中,并提取记忆留存率与推荐复习间隔等参数;最后,基于二者所得学习参数,针对特定的学习任务动态地生成间隔重复学习规划。实验结果表明,相较于传统的间隔重复学习算法,基于ACT-R的认知间隔重复学习方法可以合理有效地安排自主学习任务,每日学习任务量更加均衡,每个任务的学习时间分布也更加合理。
