Performance Engineering of Software Systems, Fall 2010

Student Teacher
  • 0
  • 1
  • 18
Mathematics and Statistics, Science and Technology, Engineering, Geoscience, Life Science, Technology, Education
AMSER: Applied Math and Science Education Repository, M.I.T.
Provider Set:
AMSER: Applied Math and Science Education Repository, AMSER LAR Collection, MIT OpenCourseWare
High School, Community College / Lower Division, College / Upper Division, Graduate / Professional, Career / Technical, Adult Education
Material Type:
Full Course, Homework and Assignments, Images and Illustrations, Instructional Material, Interactive, Lecture Notes, Lesson Plans, Readings, Reference, Student Guide, Syllabi
Media Format:
Downloadable docs, Text/HTML

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. The course also includes design reviews with industry mentors, as described in this MIT News article.