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
Correctness under concurrency
- Happens-before and memory models (intro)
- Deadlocks, livelocks, and starvation
- Deterministic replay challenges
- Transactional memory survey
- Message-passing vs shared-memory design choices
- Testing concurrent code systematically
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$1,162 · Parallel computing · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.