CPU-G PU异构多核系统的动态任务调度算法
裴颂文;宁静;张俊格
【期刊名称】《计算机应用研究》 【年(卷),期】2016(033)011
【摘要】CPU-GPU异构多核系统对计算密集型的应用加速效果显著而得到广泛应用，但易出现负载均衡问题。针对此问题，提出了一种CPU-GPU 异构多核系统的动态任务调度算法。该算法充分利用CPU 的线程资源和GPU的计算资源，准确测量CPU和GPU的计算能力，从而动态调整分配到CPU 和GPU 上的数据块大小，减小负载的总执行时间，提高系统加速比。实验结果表明，该算法使得系统加速比提高34％～103％。%CPU-GPU heterogeneous multi-core system has been widely applied because of its acceleration effects for compute-intensive applications.However,the problem of workload imbalance is serious.Therefore,this paper proposed a dynamic task scheduling algorithm (DTSA)based on CPU-GPU heterogeneous multi-core system.In order to guarantee that all cores were doing useful work,it made full use of CPU and GPU.Furthermore,it could accurately measure
the
computational
power
of
GPUs
and
CPUs
respectively,dynamically adjusted the size of data blocks to be executed on CPUs and GPUs,and finally re-duced the total executing time of workloads and increased the system speedup.According to the results of experiments by using this algorithm,the system speedup increases by 34%~103%.
CPU-G PU异构多核系统的动态任务调度算法
