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Graded Monads and Type-Level Programming for Dependence Analysis

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Uses a graded monad that tags computations with type-level (reads,writes) sets and names memory cells by symbols, builds a type-level dependency graph by intersecting write/read sets, and runs a topological sort implemented as type-level adjacency list and DFS using first-class type families. Cycles are detected via SCCs and rejected. A runtime rearrangement permutes the original HList of IO computations to the compile-time order so the program runs the sorted sequence; experiments on artifacts show graphs up to ~8 nodes and anecdotal worst compiles around 30s.

AI-written summary · about

  1. 0:00Intro
  2. 4:11Three Steps
  3. 10:39TypeLevel Programming
  4. 13:48TypeLevel Graphs
  5. 20:26Rearrangement
  6. 25:52Questions
  7. 27:52Question
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