ABSTRACTA majority of parallel appl

ABSTRACT
A majority of parallel applications executed on HPC clusters
use MPI for communication between processes. Most users
treat MPI as a black box, executing their programs using the
cluster’s default settings. While the default settings perform
adequately for many cases, it is well known that optimizing
the MPI environment can significantly improve application
performance. Although the existing optimization tools are
effective when used by performance experts, they require
deep knowledge of MPI library behavior and the underlying
hardware architecture in which the application will be executed.
Therefore, an easy-to-use tool that provides recommendations
for configuring the MPI environment to optimize
application performance is highly desirable. This paper addresses
this need by presenting an easy-to-use methodology
and tool, named MPI Advisor, that requires just a single execution
of the input application to characterize its predominant
communication behavior and determine the MPI con-
figuration that may enhance its performance on the target
combination of MPI library and hardware architecture

ผลลัพธ์ (อังกฤษ) 2:

ABSTRACT
A Majority of Applications executed on parallel HPC clusters
for use MPI Communication between processes. Most Users
Treat MPI as a Black box, executing their programs using the
Cluster's default settings. While the default settings Perform
adequately for MANY Cases, it is well Known that Optimizing
the Environment Can significantly improve MPI Application
Performance. Although the existing Optimization Tools are
effective when used by Performance Experts, they Require
Deep Knowledge of MPI Library behavior and the underlying
Hardware Architecture in which the Application Will be executed.
Therefore, an Easy-to-use Tool that provides Recommendations
for Configuring the MPI. Environment to Optimize
Application Performance is highly desirable. This Paper addresses
this by presenting Need an Easy-to-use methodology
and Tool, Named Advisor MPI, that requires just a single Execution
of Application input to characterize the predominant ITS
Communication Determine behavior and the MPI con-
figuration that May Enhance Performance on ITS. Target the
combination of MPI Library and Hardware Architecture.

ผลลัพธ์ (อังกฤษ) 3:

ABSTRACT.A majority of parallel applications executed on HPC clusters.Use MPI for communication between processes. Most users.Treat MPI as a black box executing their, programs using the.Cluster "s default settings. While the default settings perform.Adequately for, many cases it is well known that optimizing.The MPI environment can significantly improve application.Performance. Although the existing optimization tools are.Effective when used by performance experts they require,,Deep knowledge of MPI library behavior and the underlying.Hardware architecture in which the application will be executed.Therefore an easy-to-use, tool that provides recommendations.For configuring the MPI environment to optimize.Application performance is highly desirable. This paper addresses.This need by presenting an easy-to-use methodology.And tool named Advisor that, MPI, requires just a single execution.Of the input application to characterize its predominant.Communication behavior and determine the MPI con -.Figuration that may enhance its performance on the target.Combination of MPI library and hardware architecture.