High Performance Fortran without Templates: An Alternative Model for Distribution and Alignment
Abstract
Language extensions of Fortran are being developed which permit the user to map data structures to the individual processors of distributed memory machines. These languages allow a programming style in which global data references are used. Current efforts are focused on designing a common basis for such languages, the result of which is known as High Performance Fortran (HPF). One of the central debates in the HPF effort revolves around the concept of templates, introduced as an abstract index space to which data could be aligned. In this paper, we present a model for the mapping of data which provides the functionality of High Performance Fortran distributions without the use of templates.... Distributed memory multiprocessors, Data distributions, Fortran language extensions
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1993
- Accession Number
- ADA267041
Entities
People
- Barbara Chapman
- Hans Zima
- Piyush Mehrotra