Course syllabus is available here - see 2012 updates. Course schedule is available in iCal, Course schedule is available in XML, and HTML formats. Minor changes and additions to the schedule are possible. Note the HW submission schedule - plan ahead
The course starts with the fundamental aspects of programming "shared-memory" architectures: <lu>
- thread-parallel programming
- virtual clocks
- memory consistency models
- data race detection
- data parallel programming </lu> backed up by the technologies for practical implementation of these ideas: Java threads and OpenMP (C++/C).
- BSP programming model
- Map-Reduce </lu>.
It then goes on with the fundamentals of programming "distributed memory" architectures: <lu>
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