Purely functional programs should run well on parallel hardware because of the absence of
side effects, but it has proved hard to realise this potential in practice. Plenty of papers …

It is increasingly important for parallel applications to run together on the same machine.
However, current performance is often poor: programs do not adapt well to dynamically …

Recent research on parallel functional programming has culminated in a provably efficient
(in work and space) parallel memory manager, which has been incorporated into the MPL …

Applications composed of multiple parallel libraries perform poorly when those libraries
interfere with one another by obliviously using the same physical cores, leading to …

Nested parallelism has proved to be a popular approach for programming the rapidly
expanding range of multicore computers. It allows programmers to express parallelism at a …

The increasing availability of commodity multicore processors is making parallel computing
ever more widespread. In order to exploit its potential, programmers need languages that …

Because of its many desirable properties, such as its ability to control effects and thus
potentially disastrous race conditions, functional programming offers a viable approach to …

Although functional programming languages simplify writing safe parallel programs by
helping programmers to avoid data races, they have traditionally delivered poor …

Concurrent ML (CML) is a high-level message-passing language that supports the
construction of first-class synchronous abstractions called events. This mechanism has …

The increasing availability of commodity multicore processors is making parallel computing
available to the masses. Traditional parallel languages are largely intended for large-scale …