TBB Task-oriented Mixed-parallel Programming Model for Multi-Core Cluster

GU Hui; ZHENG Xiao-wei; ZHANG Jian-qiang; WU Hua-ping

Chinese

您当前的位置：

首页 >

文章列表页 >

TBB Task-oriented Mixed-parallel Programming Model for Multi-Core Cluster

更新时间：2026-09-04

- TBB Task-oriented Mixed-parallel Programming Model for Multi-Core Cluster
- Vol. 28, Issue 2, Pages: 91-93(2011)
- 作者机构：
  
  1. 1 内蒙古师范大学机构网络技术学院,内蒙古,呼和浩特,010022
  2. 2 辽宁师范大学机构计算机与信息技术学院,山东,大连,116081
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
移动端阅览
顾慧, 郑晓薇, 张建强, 吴华平. 面向任务的TBB多核集群混合并行编程模型[J]. 微电子学与计算机, 2011, 28(2): 91-93,97.

GU Hui, ZHENG Xiao-wei, ZHANG Jian-qiang, et al. TBB Task-oriented Mixed-parallel Programming Model for Multi-Core Cluster[J]. 2011, 28(2): 91-93.
顾慧, 郑晓薇, 张建强, 吴华平. 面向任务的TBB多核集群混合并行编程模型[J]. 微电子学与计算机, 2011, 28(2): 91-93,97. DOI：

GU Hui, ZHENG Xiao-wei, ZHANG Jian-qiang, et al. TBB Task-oriented Mixed-parallel Programming Model for Multi-Core Cluster[J]. 2011, 28(2): 91-93. DOI：

摘要

构建了一种适用于多核集群的混合并行编程模型.该模型融合了共享内存的面向任务的TBB编程和基于消息传递的MPI编程两种模式.结合两者的优势

实现进程到处理节点和进程内线程到处理器核的两级并行.相对于单一编程方式下的程序性能

采用这种混合并行编程模型的算法不但可以减少程序执行时间

获得更好的加速比和执行效率

而且明显地提高了集群性能.

Abstract

To take full advantage of the structural characteristics of multi-core clusters and enhance the use of CPU each core efficiently

a multi-core cluster hybrid parallel programming model is constructed. The model combines the shared memory and the TBB task-oriented programming and MPI message-passing programming mode. Using their advantages

achieve the hierarchical parallel programming of processes to nodes and threads to the processor core. Compare with the algorithm of the single parallel programming model

this programming mode not only can reduce the program execution time

get a better speedup and execution efficiency

but also improve the cluster performance greatly.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Aerial small object detection algorithm based on improved RT-DETR

Research on assembly action recognition based on MSS-YOLO-MPHands fusion architecture

Steganography model guided by attention mechanism and improved dense convolution

High gain stability high temperature operational amplifier based on reverse body bias

Simulation on the DC characteristics of double heterojunction p-GaN HEMT with AlN/GaN hybrid buffer layer

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰