2000
Indeterminism is typical for concurrent computation. If several concurrent actors compete for the same resource then at most one of them may succeed, whereby the choice of the successful actor is indeterministic. As a consequence, the execution of a concurrent program may be nonconfluent. Even worse, most observables (termination, computational result, and time complexity) typically depend on the scheduling of actors created during program execution. This property contrast concurrent programs from purely functional programs. A functional program is uniformly confluent in the sense that all its possible executions coincide modulo reordering of execution steps. In this paper, we investigate concurrent programs that are uniformly confluent and their relation to eager and lazy functional programs.
We study uniform confluence in concurrent computation
within the applicative core of the
-calculus
which is
widely used in different models of concurrent
programming (with interleaving semantics). In particular,
the applicative
core of the
-calculus serves as a kernel in
foundations of concurrent constraint programming with
first-class procedures (as provided by the programming
language Oz). We model eager functional programming
in the
-calculus with weak call-by-value reduction
and lazy functional programming in the call-by-need
-calculus with standard reduction. As a measure of
time complexity, we count application steps. We encode the
-calculus with both above reduction strategies
into the applicative core of the
-calculus
and show that
time complexity is preserved. Our correctness proofs employs
a new technique based on uniform confluence and simulations.
The strength of our technique is illustrated by proving a
folk theorem, namely that the call-by-need
complexity of a functional program is smaller than its call-by-value
complexity.
The unabridged version of this article is available from
Uniform:99. Due to lack of space,
the journal version does not contain the encoding
of the
-calculus (introduced in the paper) into the applicative core
of the
-calculus which is of its own interest.
Journal of Functional Programming, n5 v10, 2000