Reducing I/O Complexity by Simulating Coarse Grained Parallel Algorithms

Block-wise access to data is a central theme in the design of efficient external memory (EM) algorithms. A second important issue, when more than one disk is present, is fully parallel disk I/O. In this paper we present a deterministic simulation technique which transforms parallel algorithms into (parallel) external memory algorithms. Specifically, we present a deterministic simulation technique which transforms Coarse Grained Multicomputer (CGM) algorithms into external memory algorithms for the Parallel Disk Model. Our technique optimizes block-wise data access and parallel disk I/O and, at the same time, utilizes multiple processors connected via a communication network or shared memory. We obtain new improved parallel external memory algorithms for a large number of problems including sorting, permutation, matrix transpose, several geometric and GIS problems including 3D convex hulls (2D Voronoi diagrams), and various graph problems. All of the (parallel) external memory algorith...

• Type: Conference
• Year: 1999
• Where: IPPS
• Authors: Frank K. H. A. Dehne, David A. Hutchinson, Anil Maheshwari, Wolfgang Dittrich
• Keywords: Distributed And Parallel Computing, External Memory Algorithms, IPPS 1999, Parallel Disk, Parallel Disk I/o