异构计算架构下的程序性能优化
摘 要
随着计算需求的日益增长，传统单一架构已难以满足高性能计算要求，异构计算架构凭借其多类型计算资源协同工作的优势成为研究热点。本研究聚焦于异构计算架构下的程序性能优化，旨在通过深入分析不同计算单元特性及任务分配机制，探索有效提升程序性能的方法。基于此，提出一种面向异构架构的任务调度与资源分配策略，该策略综合考虑计算资源的异构性、任务的并行性以及数据传输开销等因素，构建数学模型以实现最优任务分配。通过在多种典型异构平台上的实验验证，结果表明所提方法能够显著提高程序执行效率，相较于传统方法平均性能提升达到30%以上。此外，针对现有异构编程模型存在的局限性，设计了一种新型编程接口，简化了开发流程并增强了可移植性。
关键词：异构计算架构 任务调度与资源分配 程序性能优化
Abstract
With the increasing demand of computing, the traditional single architecture is difficult to meet the requirements of high performance computing, and the heterogeneous computing architecture has become a research hotspot with its advantages of multiple types of computing resources. This study focuses on the optimization of program performance under heterogeneous computing architecture, aiming to explore ways to effectively improve program performance through in-depth analysis of the characteristics of different computing units and task allocation mechanism. Based on this, a heterogeneous task scheduling and resource allocation strategy is proposed, which comprehensively considers the heterogeneity of computing resources, task parallelism and data transmission overhead to build a mathematical model to realize the optimal task allocation. Through experimental verification on several typical heterogeneous platforms, the results show that the proposed method can significantly improve the execution efficiency of the program, with the average performance improvement of more than 30% compared with the traditional methods. Moreover, for the existing limitations of the heterogeneous programming model, a novel programming interface is designed to simplify the development process and enhance the portability
Keyword:Heterogeneous Computing Architecture Task Scheduling And Resource Allocation Program Performance Optimization
目 录
1绪论 1
1.1异构计算架构的发展背景 1
1.2程序性能优化的意义与价值 1
1.3国内外研究现状综述 1
1.4本文研究方法与技术路线 2
2异构计算架构特性分析 2
2.1异构硬件平台的分类 2
2.2不同架构的性能特点 3
2.3架构间的协同机制 3
2.4异构系统编程模型 4
3性能瓶颈识别与分析 4
3.1瓶颈定位方法论 5
3.2内存访问模式优化 5
3.3并行任务调度策略 6
3.4数据传输效率提升 6
4优化技术与实践案例 7
4.1编译优化技术应用 7
4.2运行时优化策略 8
4.3典型应用场景分析 8
4.4实验结果与讨论 9
结论 9
参考文献 11
致谢 12
摘 要
随着计算需求的日益增长，传统单一架构已难以满足高性能计算要求，异构计算架构凭借其多类型计算资源协同工作的优势成为研究热点。本研究聚焦于异构计算架构下的程序性能优化，旨在通过深入分析不同计算单元特性及任务分配机制，探索有效提升程序性能的方法。基于此，提出一种面向异构架构的任务调度与资源分配策略，该策略综合考虑计算资源的异构性、任务的并行性以及数据传输开销等因素，构建数学模型以实现最优任务分配。通过在多种典型异构平台上的实验验证，结果表明所提方法能够显著提高程序执行效率，相较于传统方法平均性能提升达到30%以上。此外，针对现有异构编程模型存在的局限性，设计了一种新型编程接口，简化了开发流程并增强了可移植性。
关键词：异构计算架构 任务调度与资源分配 程序性能优化
Abstract
With the increasing demand of computing, the traditional single architecture is difficult to meet the requirements of high performance computing, and the heterogeneous computing architecture has become a research hotspot with its advantages of multiple types of computing resources. This study focuses on the optimization of program performance under heterogeneous computing architecture, aiming to explore ways to effectively improve program performance through in-depth analysis of the characteristics of different computing units and task allocation mechanism. Based on this, a heterogeneous task scheduling and resource allocation strategy is proposed, which comprehensively considers the heterogeneity of computing resources, task parallelism and data transmission overhead to build a mathematical model to realize the optimal task allocation. Through experimental verification on several typical heterogeneous platforms, the results show that the proposed method can significantly improve the execution efficiency of the program, with the average performance improvement of more than 30% compared with the traditional methods. Moreover, for the existing limitations of the heterogeneous programming model, a novel programming interface is designed to simplify the development process and enhance the portability
Keyword:Heterogeneous Computing Architecture Task Scheduling And Resource Allocation Program Performance Optimization
目 录
1绪论 1
1.1异构计算架构的发展背景 1
1.2程序性能优化的意义与价值 1
1.3国内外研究现状综述 1
1.4本文研究方法与技术路线 2
2异构计算架构特性分析 2
2.1异构硬件平台的分类 2
2.2不同架构的性能特点 3
2.3架构间的协同机制 3
2.4异构系统编程模型 4
3性能瓶颈识别与分析 4
3.1瓶颈定位方法论 5
3.2内存访问模式优化 5
3.3并行任务调度策略 6
3.4数据传输效率提升 6
4优化技术与实践案例 7
4.1编译优化技术应用 7
4.2运行时优化策略 8
4.3典型应用场景分析 8
4.4实验结果与讨论 9
结论 9
参考文献 11
致谢 12
