Multiapplication support in a parallel-program performance tool

We added new features for analyzing multiple programs to the IPS-2 parallel-program performance tools and were surprised at the wide range of performance problems for which this modified IPS-2 can be used. With multiapplication IPS-2, programmers can simultaneously run and analyze cooperating or con...

Full description

Saved in:
Bibliographic Details
Published in:IEEE parallel & distributed technology 1994, Vol.2 (1), p.40-50
Main Authors: Irvin, R.B., Miller, B.P.
Format: Article
Language:English
Subjects:
Debugging
Displays
Hardware
Instruments
Operating systems
Performance analysis
Predictive models
Programming profession
Space technology
Switches
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We added new features for analyzing multiple programs to the IPS-2 parallel-program performance tools and were surprised at the wide range of performance problems for which this modified IPS-2 can be used. With multiapplication IPS-2, programmers can simultaneously run and analyze cooperating or contending applications; combine performance displays and metrics of multiple applications or multiple versions of the same application to directly compare performance; analyze critical paths of execution for individual applications, for a single application and the applications with which it interacts, or for entire workloads; study how the application workload performance affects the hardware, operating system, and network performance; study an application's evolution through multiple versions, hardware platforms, or input sets; study a workload's aggregate behavior, how applications interact, or how individual applications perform in the presence of other applications; and compare the measured performance of a program with predictions made by simulations or analytical models. This modified parallel-program performance tool analyzes multiple applications in a single session, allowing better performance tuning than is possible when programs are run in isolation.< >
ISSN:1063-6552
1558-1861
DOI:10.1109/88.281874