Compile-time techniques for data distribution in distributed memory machines

1991 ◽  
Vol 2 (4) ◽  
pp. 472-482 ◽  
Author(s):  
J. Ramanujam ◽  
P. Sadayappan
Keyword(s):  
Distributed Memory ◽  
Data Distribution ◽  
Distributed Memory Machines

COMPILING DISTRIBUTED LOOPS ONTO SPMD CODE

1994 ◽  
Vol 04 (03) ◽  
pp. 301-312 ◽  
Author(s):  
VINCENT VAN DONGEN
Keyword(s):  
Distributed Memory ◽  
Data Distribution ◽  
The Other ◽  
Distribution Model ◽  
Distributed Memory Machines ◽  
Parallel Loops

Given a loop written in a sequential language and a block-cyclic distribution, we present some techniques for generating SPMD code to run on distributed-memory machines. This is illustrated on three types of loops: parallel loops without internal dependence, parallel loops with internal dependences, and loops with hidden parallelism. Two models of distributions are considered: the data distribution and the computation distribution. We argue here that the data distribution model together with the owner-computes rule is only well adapted for the first class of loops. For the other loops, we present the idea of using a computation distribution instead, and we show how this can be compiled for distributed-memory machines.

scholarly journals Programming in Vienna Fortran

1992 ◽  
Vol 1 (1) ◽  
pp. 31-50 ◽  
Author(s):  
Barbara Chapman ◽  
Piyush Mehrotra ◽  
Hans Zima
Keyword(s):  
Shared Memory ◽  
Data Structures ◽  
Distributed Memory ◽  
Data Distribution ◽  
Performance Potential ◽  
Distributed Memory Machines ◽  
Programming Paradigm ◽  
Language Extension ◽  
Wide Range ◽  
Global Data

Exploiting the full performance potential of distributed memory machines requires a careful distribution of data across the processors. Vienna Fortran is a language extension of Fortran which provides the user with a wide range of facilities for such mapping of data structures. In contrast to current programming practice, programs in Vienna Fortran are written using global data references. Thus, the user has the advantages of a shared memory programming paradigm while explicitly controlling the data distribution. In this paper, we present the language features of Vienna Fortran for FORTRAN 77, together with examples illustrating the use of these features.

Parallelizing molecular dynamics programs for distributed-memory machines

1995 ◽  
Vol 2 (2) ◽  
pp. 18-29 ◽  
Author(s):  
Ynan-Shin Hwang ◽  
R. Das ◽  
J.H. Saltz ◽  
M. Hodoscek ◽  
B.R. Brooks
Keyword(s):  
Molecular Dynamics ◽  
Distributed Memory ◽  
Distributed Memory Machines
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