Concurrency with oracles
While there has been research into deterministic concurrency (e.g. Eleni Spiliopoulou's work with the Bristol Haskell system as described in his thesis Concurrent and Distributed Functional Systems), models of concurrency are generally nondeterministic. For programming languages like Haskell which have the goal of being referentially transparent, the nondeterminism associated with concurrency presents a challenge - the usual techniques for supporting it used by most other (imperative) languages cannot not be simply transferred verbatim. But neither can nondeterminism be just ignored:
Other example include:
- which out of two computations will finish first;
- which input event will arrive first;
- whether a computation will finish before an input event arrives.
For concurrent programs, nondeterminism is inescapable - events like storage, network or other external failures can occur without warning. The languages used for writing such programs must have some way to allow these programs to cope with such degradation gracefully while continuing to carry out the majority of their designated tasks, albeit at reduced capacity.
How oracles can help
By presenting them to programs via a (theoretically) infinite structured value such as a tree, oracles allow for the controlled use of nondeterminism - wherever the program requires an nondeterministic result, an oracle is then used for this purpose through the use of operations from the interface for the corresponding abstract data type. After it's used, an oracle remains constant - reusing it will not provide a "different" nondeterministic result. Therefore any value determined by an oracle is also constant.
Examples of use
Stephan Herhut, Sven-Bodo Scholz and Clemens Grelck incorporate an oracle source in the uniquely-typed world state used in Single-Assignment C to help improve the performance of certain operations with side-effects within data-parallel segments of programs. Simon B. Jones and K. V. S. Prasad uses oracles directly for operating and broadcasting systems respectively; Peter Dybjer, Herbert Sander and Mieke Massink use the concept for reasoning about various models of concurrency and their possible applications.
- Controlling Chaos: On Safe Side-Effects in Data-Parallel Operations, Stephan Herhut, Sven-Bodo Scholz and Clemens Grelck.
- A Functional Programming Approach to the Specification and Verification of Concurrent Systems, Peter Dybjer and Herbert Sander.
- Functional Techniques in Concurrency, Mieke Massink.
- A Calculus of Broadcasting Systems, K. V. S. Prasad.
- A range of operating systems written in a purely functional style, Simon B. Jones.