Communication Pre-evaluation in HPF
Pierre Boulet
*
Xavier Redon
#
Abstract:
Parallel computers are difficult to program efficiently. We believe
that a good way to help programmers write efficient programs is to
provide them with tools that show them how their programs behave on
a parallel computer. Data distribution is the
major performance factor of data-parallel programs and so automatic
data layout for High Performance Fortran programs has been studied by many researchers
recently. The communication volume induced by a data distribution
is a good estimator of the efficiency of this data distribution.
We present here a symbolic method to compute the communication
volume generated by a given data distribution during the program
writing phase (before compilation). We stay machine-independent to
assure portability. Our goal is to help the programmer understand
the data movements its program generates and thus find a good data
distribution. Our method is based on parametric polyhedral
computations. It can be applied to a large class of regular codes.
This document was translated from LATEX by
HEVEA and HACHA.