麻省理工学院开放课程6.172 软件系统性能工程

快捷索引

概述：
现代计算平台提供了空前数量的计算能力。但之而来的是更显著的复杂性，这一点导致的计算机利用甚至一小部分潜在的计算平台都构成了一个很大的挑战。事实上，获得良好的性能要求全面了解各层的基本平台，着手深入到计算机内部，智慧和创意需要获得一个有效的测绘计算。掌握这些复杂和具有挑战性的课题的能力进行计算，可以处理大量数据的数量级更快、更有效地取得成果，而无需使用标准的做法。

这个课程是一个动手，项目引进建设可扩展性和高性能软件系统。主题包括性能分析算法技术，高性能，指令级优化，缓存和内存层次结构优化，并行编程，并建立可扩展的分布式系统。

Modern computing platforms provide unprecedented amounts of raw computational power. But significant complexity comes along with this power, to the point that making useful computations exploit even a fraction of the potential of the computing platform is a substantial challenge. Indeed, obtaining good performance requires a comprehensive understanding of all layers of the underlying platform, deep insight into the computation at hand, and the ingenuity and creativity required to obtain an effective mapping of the computation onto the machine. The reward for mastering these sophisticated and challenging topics is the ability to make computations that can process large amount of data orders of magnitude more quickly and efficiently and to obtain results that are unavailable with standard practice.

This class is a hands-on, project-based introduction to building scalable and high-performance software systems. Topics include performance analysis, algorithmic techniques for high performance, instruction-level optimizations, cache and memory hierarchy optimization, parallel programming, and building scalable distributed systems.

作者概述：
麻省理工学院(Massachusetts Institute of Technology,MIT)是美国一所综合性私立大学。位于马萨诸塞州的波士顿,查尔斯河(Charles River)将其与波士顿的后湾区(Back Bay)隔开。MIT无论是在美国还是全世界都有非常重要的影响力,培养了众多对世界产生重大影响的人士,是全球高科技和高等研究的先驱领导大学。麻省理工学院的自然及工程科学在世界上享有极佳的声誉,其管理学、经济学、哲学、政治学、语言学也同样优秀。由于在学术方面的卓越成就,虽然MIT不是常春藤盟校成员,MIT也常被纳入Ivy Plus。

主讲人
Prof. Saman Amarasinghe
Prof. Charles Leiserson

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