Using approximation algorithms to design parallel algorithms that may ignore processor allocation

Abstract

A framework is presented for designing parallel algorithms that may ignore processor allocation. A number of fast approximation algorithms are developed, and it is shown how to use these algorithms to simulate any algorithm that fits this framework in a work-preserving fashion on a randomized CRCW PRAM. Several applications of the approach to parallel computational geometry are given.<>