Parallel Processing White Papers
Qlisp: Parallel Processing in Lisp
Overview One of the major problems in writing programs to take advantage of parallel processing has been the lack of good multiprocessing languages - one which is both powerful and understandable to programmers. This paper describes multiprocessing extensions to Common Lisp designed to be suitable for studying styles of parallel programming at the medium-grain level in a shared-memory architecture. The resulting language is called Qlisp. A problem with parallel programming is the degree to which the programmer must explicitly address synchronization problems. Two new approaches to this problem look promising: the first is the concept of heavyweight futures, and the second is a new type of function called a partially, multiply invoked function.
| Publisher | Lucid | File Format | |
|---|---|---|---|
| Date Published | January 2002 | ||
| Format | White Papers | ||
| Topics | |||
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