计算机技术与发展2012，Vol.22Issue(5)：32-36,5.
异构GPU集群的任务调度方法研究及实现
Research and Implementation of Task Schedule Method on Heterogeneous GPU Cluster
黄锦增 1陈虎 1赖路双1
作者信息
- 1. 华南理工大学软件学院,广东广州510006
- 折叠
摘要
Abstract
GPU cluster has become an important method for high performance computing .especially for compute-intensive applications. It has many advantages, such as low cost, high performance and low power consumption. To solve the load balancing problem of GPU cluster system,propose an algorithm for heterogeneous GPU cluster.it can automatically identify computation nodes,dynamically estimate the computing capability of these nodes and allocate resources in heterogeneous GPU cluster based on computation nodes' capability .tasks ' computing strength and priority. At the same time,the system is also fault tolerant,which is able to handle unexpected exit of computation nodes,recover the computing task of calculation nodes out of an unexpected exit and dynamically adapt to the calculation size of the system. The experiment result shows this strategy achieves desired purpose.关键词
负载均衡/异构GPU集群/任务调度/动态适应Key words
load balance/heterogeneous GPU cluster/task schedule/dynamical adaptation分类
信息技术与安全科学引用本文复制引用
黄锦增,陈虎,赖路双..异构GPU集群的任务调度方法研究及实现[J].计算机技术与发展,2012,22(5):32-36,5.
