Halide: Separating Image Algorithms from Schedules

Recommended as the clearest explanation of Halide's ideas and of scheduling for performance.

Andrew Adams, a Halide developer, presents the Halide language for image processing and tensor computation. The talk explains the separation of algorithm from schedule with illustrated examples of parallelism, locality and redundancy tradeoffs.