Standard syllabus
Parallel computing · Undergraduate · CS / Programming
Topics
Parallel models
- Flynn's taxonomy; shared vs distributed memory
- Amdahl's and Gustafson's laws
- Threads, locks, and race conditions
- Synchronization primitives and lock-free ideas (intro)
- Parallel algorithm design: divide-and-conquer, data parallelism
Programming interfaces
- Pthreads or std::thread programming (intro)
- OpenMP directives for loop parallelism
- MPI basics: send, receive, collective ops (intro)
- GPU computing with CUDA or OpenCL (survey)
- Deterministic debugging of concurrent programs
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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