Multithreaded Parallelism Languages and Compilers OpenCourseWare: Free Graduate Level Programming Course by MIT

Published Jan 05, 2009

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'Multithreaded Parallelism: Languages and Compilers' is offered to students pursuing master's degrees in Electrical Engineering and Computer Programming at MIT and is required for students concentrating in Computer Systems and Architecture Engineering. 'Multithreaded Parallelism: Languages and Compilers' is available free through MIT's OpenCourseWare program. With the advent of multicore processors, this course looks at developing parallel computing compilers and languages.

Multithreaded Parallelism Languages and Compilers: Course Specifics

Degree Level Free Audio Video Downloads
Graduate Yes No No Yes

Lectures/Notes Study Materials Tests/Quizzes
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Multithreaded Parallelism Languages and Compilers: Course Description

'Multithreaded Parallelism: Languages and Compilers' OpenCourseWare begins by covering programming language material that is classical, such as Haskell, pH, types and Lambda calculus. It then goes on to consider parallel computation models that are well known. These include multi-threading and dataflow. Lastly, new models (transactional memory and atomic transactions) are examined. Specific topics covered include polymorphism, non-strictness, nondeterminism, lambda calculus, operational semantics, term writing, compiler optimizations and static analysis. Prof. Arvind taught the original course in a lecture style format to graduate students in MIT's Electrical Engineering and Computer Science graduate degree program. The original course required students to implement their programming assignments in Hugs and pH - parallel Haskell.

'Multithreaded Parallelism: Languages and Compilers' OpenCourseWare provides potential students with lecture notes, problem sets, midterm topics, midterm quiz and project suggestions. To learn more about multithreaded compilers and languages, please visit the parallel computing course page.

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