On-line monitoring systems and computer tool interoperabilityJanuary 2004
  • Editors:
  • Thomas E Ludwig profile imageThomas Ludwig,
  • B. P. Miller profile imageBarton P. Miller
Publisher:
  • Nova Science Publishers, Inc.
  • 6080 Jericho Tpke. Suite 207 Commack, NY
  • United States
ISBN:978-1-59033-888-9
Pages:
112
Bibliometrics

Abstract

No abstract available.

chapter
Introduction
January 2004, pp .7–.8
chapter
Monitoring concepts for parallel systems: an evolution towards interoperable tool environments
January 2004, pp 1–21

For more than 10 years the research group at LRR-TUM investigates concepts for on-line monitoring techniques and designs and implements monitoring systems for various hardware and software architectures. From the early systems in the beginning of the 90'...

chapter
The first framework for interoperable run-time software tools
January 2004, pp 23–41

A variety of different program correctness tools are now available to help the software developer write, test and maintain faster, correctly conforming code. The majority of these software tools are independent in nature and can not be used in ...

chapter
Supporting on-line distributed monitoring and debugging
January 2004, pp 43–59

Monitoring systems have traditionally been developed with rigid objectives and functionalities, and tied to specific languages, libraries and run-time environments. There is a need for more flexible monitoring systems which can be easily adapted to ...

chapter
A framework for multi-execution performance tuning
January 2004, pp 61–89

This paper describes a design and prototype implementation of a performance tool designed to answer performance questions that span multiple program executions from all stages of the lifespan of an application. We use the scientific experimentation ...

chapter
Specifying performance properties of parallel applications using compound events
January 2004, pp 91–110

In this article we present a novel approach to analyzing performance properties of parallel applications based on event traces. We define a framework for formally specifying compound events that characterize performance behavior. The framework allows ...

Contributors

  • Thomas E Ludwig
    Heidelberg University, Germany
  • B. P. Miller
    University of Wisconsin-Madison

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