Record Details

A Parallelizing Compiler for Fortran

Electronic Theses of Indian Institute of Science

View Archive Info
 
 
Field Value
 
Title A Parallelizing Compiler for Fortran
 
Creator Janaki, S
 
Subject Computer and Information Science
Parallelizing Compiler
FORTRAN Compiler
Distributed Memory Machines
 
Description With the advent of Distributed Memory Machines (DMMs) numerous work have been undertaken to ease the work of a programmer these systems. Data parallel languages like Fortran D, Vienna Fortran, High Performance Fortran and C+ allow the user to specify data distribution across processor with some directives, and the compiler for these language use the directives to compile the programme in to an SPMD code. There are number of old program which are still in use and rewriting them in to new data parallel languages is a costly effort.
Most of the work on these parallelizing compilers concentrate on efficient data communication between the processors.With the advancement in technology, data communication time is also decreasing.This allows bigger programs to execute in the same time span.The resources of a DMM being finite puts a limit on the size of the
problem that can be run. Improving the memory usage for a problem will hence allow us run bigger size problems.
Further, as communication speed increases, the overhead caused by house-keeping computations like global index to local index transformation, and owner processor computation will degrade the performance of the resultant code. Hence a uniform and efficient method for these computations also becomes a necessity.

We have implemented parallelizing parts of a compiler using the SUIF compiler system, which accepts programs written in Fortran77 with directives to the compiler as comments. The output of the compiler is an SPMD C program,
with embedded PVM calls for message communication between the processors.
We have also proposed algorithms to improve data communications,and minimizing memory usage in the output code. A uniform method for performing owner processor computations and global-to-local transformations has also been implemented.
 
Publisher Indian Institute of Science
 
Contributor Srikant, Y N
 
Date 2005-03-09T06:59:19Z
2005-03-09T06:59:19Z
2005-03-09T06:59:19Z
1999-08
 
Type Electronic Thesis and Dissertation
 
Format 1044259 bytes
application/pdf
 
Identifier http://etd.iisc.ernet.in/handle/2005/79
null
 
Language en
 
Rights I grant Indian Institute of Science the right to archive and to make available my thesis or dissertation in whole or in part in all forms of media, now hereafter known. I retain all proprietary rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part of this thesis or dissertation.