UM
Patent NumberCN104536937B
Status已授權 Granted
基于CPU‑GPU异构集群的大数据一体机实现方法
2017-10-31
Application NumberCN201410844266.4
Application Date2014-12-30
Rights Holder深圳先进技术研究院
田盼; 喻之斌; 刘勇; 杨洋; 曾永刚; 贝振东; 须成忠
Date Available2017-10-31
Country中国 China
Abstract本发明适用于云计算技术领域,提供了一种基于CPU‑GPU异构集群的大数据一体机实现方法,所述方法包括:搭建一个计算机集群,所述计算机集群中包含一个配有CPU处理器的Master节点和其余配有CPU和GPU处理器的Slave节点;将CUDA安装在Slave节点上;选择Hadoop提供的MapReduce模型,为每个任务块启动一个Map任务,并将Map任务发送给Slave节点进行计算;Slave节点将接收到的Map任务划分成相应的比例后分给CPU或GPU,以执行Map和Reduce操作,并将操作结果发送给Master节点;Master节点接收各Slave节点反馈的操作结果,完成全部任务处理。
Language中文Chinese
Open (Notice) NumberCN104536937B
IPC Classification NumberG06F15/16
Patent Agent张全文
Agency深圳中一专利商标事务所 44237
Document TypePatent
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
田盼,喻之斌,刘勇,等. 基于CPU‑GPU异构集群的大数据一体机实现方法. CN104536937B[P]. 2017-10-31.
APA 田盼., 喻之斌., 刘勇., 杨洋., 曾永刚., 贝振东., & 须成忠 (2014-12-30). 基于CPU‑GPU异构集群的大数据一体机实现方法.
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