hpcweb's blog
Experiences in Tuning Performance of Hybrid MPI/OpenMP Applications on Quad-core Systems
Ashay Rane and Dan Stanzione Ph.D.
{ashay.rane, dstanzi}@asu.edu
Fulton High Performance Computing Initiative, Arizona State University
Abstract
The Hybrid method of parallelization (using MPI for inter-node
communication and OpenMP for intra-node communication) seems a natural
fit for the way most clusters are built today. It is generally ex-
pected to help programs run faster due to factors like availability of
greater bandwidth for intra-node communication. However, optimizing
hybrid applications for maximum speedup is difficult primarily due to
inadequate transparency provided by the OpenMP constructs and also due
to the dependence of the resulting speedup on the combination in which
MPI and OpenMP is used. In this paper we mention some of our
experiences in trying to optimize applications built using MPI and
OpenMP. More specifically, we talk about the different techniques that
could be helpful to other researchers working on hybrid applications.
To demonstrate the usefulness of these optimizations, we provide
results from optimizing a few typical scientific applications. Using
these opti-mizations, one hybrid code ran up to 34% faster than
pure-MPI code.
Customizing Input File Formats for Image Processing in Hadoop
Jeff Conner
Arizona State University
Abstract:
