Merge pull request #134 from tokeryberg/master

Add PCPP from IT University of Copenhagen
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Prakhar Srivastav 2015-10-06 14:35:31 -04:00
commit 0303ecc786

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@ -232,6 +232,12 @@ Courses
- [Assignments](http://cs.wheaton.edu/~tvandrun/dmfp/source.html)
- [CSC 253](http://pgbovine.net/cpython-internals.htm) **CPython internals: A ten-hour codewalk through the Python interpreter source code** *University of Rochester* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" title="Lecture Videos" /><img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" title="Readings" />
- Nine lectures walking through the internals of CPython, the canonical Python interpreter implemented in C. They were from the *Dynamic Languages and Software Development* course taught in Fall 2014 at the University of Rochester.
- [PCPP](http://www.itu.dk/people/sestoft/itu/PCPP/E2015/) **Practical Concurrent and Parallel Programming** *IT University of Copenhagen* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" title="Lecture Notes" /><img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" title="Assignments" /><img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" title="Readings" />
- In this MSc course you learn how to write correct and efficient concurrent and parallel software, primarily using Java, on standard shared-memory multicore hardware.
- The course covers basic mechanisms such as threads, locks and shared memory as well as more advanced mechanisms such as parallel streams for bulk data, transactional memory, message passing, and lock-free data structures with compare-and-swap.
- It covers concepts such as atomicity, safety, liveness and deadlock.
- It covers how to measure and understand performance and scalability of parallel programs.
- It covers tools and methods to find bugs in concurrent programs.
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