Introduction to Algorithms For Big Data Compsci 229r Lecture 6
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Algorithms For Big Data Compsci 229r Lecture 6 Comprehensive Overview
Amortized analysis, binomial heaps, Fibonacci heaps. CountSketch, ℓ0 sampling, graph sketching. Necessity of randomized/approximate guarantees, linear sketching, AMS sketch, p-stable sketch for p less than 2.
Splay trees.
Summary & Highlights for Algorithms For Big Data Compsci 229r Lecture 6
- Message passing, async vs. blocking sends/receives, pipelining, increasing arithmetic intensity, avoiding contention To follow ...
- External memory model: linked list, matrix multiplication, B-tree, buffered repository tree, sorting.
- Hashing: cuckoo hashing analysis, power of two choices.
- Analysis of ℓp estimation
- Competitive paging, cache-oblivious
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