A Software Architecture Based on Coarse-Grained Self-Adjusting Computations

Explore a software architecture based on coarse-grained self-adjusting computations in this 42-minute conference talk from FUNARCH'23. Delve into the challenges of keeping software applications updated with the most recent data and learn how self-adjusting computations can automatically and efficiently recompute output data when input changes. Examine the software architecture of a large, commercial system built around a Haskell framework for coarse-grained self-adjusting computations. Gain insights into the advantages and disadvantages of this approach based on long-term experience. Watch a demonstration of the system in action and study the API of the framework to understand its practical implementation.