Heterogeneous computing is one effective method of high performance computing with many advantages. Task scheduling is a critical issue in heterogeneous environments as well as in homogeneous environments. A number of...Heterogeneous computing is one effective method of high performance computing with many advantages. Task scheduling is a critical issue in heterogeneous environments as well as in homogeneous environments. A number of task scheduling algorithms for homogeneous environments have been proposed, whereas, a few for heterogeneous environments can be found in the literature. A novel task scheduling algorithm for heterogeneous environments, called the heterogeneous critical task （HCT） scheduling algorithm is presented. By means of the directed acyclic graph and the gantt graph, the HCT algorithm defines the critical task and the idle time slot. After determining the critical tasks of a given task, the HCT algorithm tentatively duplicates the critical tasks onto the processor that has the given task in the idle time slot, to reduce the start time of the given task. To compare the performance of the HCT algorithm with several recently proposed algorithms, a large set of randomly generated applications and the Gaussian elimination application are randomly generated. The experimental result has shown that the HCT algorithm outperforms the other algorithm.展开更多
针对嵌入式片上多处理器MPSoC(multiple processor system on chip)平台下任务并行化分配的问题,从理论上对任务调度进行了建模,针对模型中的任务间依赖问题,给出了层次任务图的分析模型;结合量化后函数的开销和OpenMP并行化思想,提出...针对嵌入式片上多处理器MPSoC(multiple processor system on chip)平台下任务并行化分配的问题,从理论上对任务调度进行了建模,针对模型中的任务间依赖问题,给出了层次任务图的分析模型;结合量化后函数的开销和OpenMP并行化思想,提出了基于复制分治调度策略的并行方案;以例子滤波算法为例,对任务并行化进行验证,实验结果分析表明,本文提出的并行化方案,合理的对任务进行分配,改善了多处理器的负载平衡,降低了处理器间通讯开销,具有较大的加速比,满足嵌入式多核平台下任务并行化的需求.展开更多
文摘Heterogeneous computing is one effective method of high performance computing with many advantages. Task scheduling is a critical issue in heterogeneous environments as well as in homogeneous environments. A number of task scheduling algorithms for homogeneous environments have been proposed, whereas, a few for heterogeneous environments can be found in the literature. A novel task scheduling algorithm for heterogeneous environments, called the heterogeneous critical task （HCT） scheduling algorithm is presented. By means of the directed acyclic graph and the gantt graph, the HCT algorithm defines the critical task and the idle time slot. After determining the critical tasks of a given task, the HCT algorithm tentatively duplicates the critical tasks onto the processor that has the given task in the idle time slot, to reduce the start time of the given task. To compare the performance of the HCT algorithm with several recently proposed algorithms, a large set of randomly generated applications and the Gaussian elimination application are randomly generated. The experimental result has shown that the HCT algorithm outperforms the other algorithm.
文摘针对嵌入式片上多处理器MPSoC(multiple processor system on chip)平台下任务并行化分配的问题,从理论上对任务调度进行了建模,针对模型中的任务间依赖问题,给出了层次任务图的分析模型;结合量化后函数的开销和OpenMP并行化思想,提出了基于复制分治调度策略的并行方案;以例子滤波算法为例,对任务并行化进行验证,实验结果分析表明,本文提出的并行化方案,合理的对任务进行分配,改善了多处理器的负载平衡,降低了处理器间通讯开销,具有较大的加速比,满足嵌入式多核平台下任务并行化的需求.
