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.
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。
Prof. Saman Amarasinghe
Prof. Charles Leiserson