STEM / applied
Parallel computing · Undergraduate · CS / Programming
Topics
Performance engineering
- Cache coherence and false sharing
- Scheduling and work-stealing (intro)
- Benchmarking parallel speedup and efficiency
- Domain decomposition for PDEs/grids (intro)
- Pipeline parallelism in data processing frameworks
Applications
- Parallel sorting and graph algorithms (intro)
- MapReduce/Hadoop/Spark programming model (survey)
- Scientific computing workloads on clusters
- Fault tolerance in distributed jobs (intro)
- Ethics and energy costs of large-scale compute
Scaling workloads
- Profiling parallel bottlenecks
- Load balancing strategies
- NUMA awareness at introductory level
- Batch vs stream parallel frameworks
- Energy and thermal limits of scale-up/out
- Capstone: speedup study with correctness checks
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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.