1996
DOI: 10.1007/bfb0024763
|View full text |Cite
|
Sign up to set email alerts
|

Dip: A parallel program development environment

Abstract: This paper describes an environment whose aim is to aid in the development and tuning of message passing applications before actually running them in a real system with a large number of processors. Our objective is not to eliminate tests on reed machines but to be able to focus them in a more selective way and thereby minimize their number. The environment presented in this paper consists of three closely integrated tools: an instrumented communication library, a trace driven simulator (Dimemas) and a visuali… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
92
0

Year Published

2002
2002
2013
2013

Publication Types

Select...
5
3
2

Relationship

2
8

Authors

Journals

citations
Cited by 133 publications
(92 citation statements)
references
References 13 publications
0
92
0
Order By: Relevance
“…We used PAR-AVER [20], a visualization and performance analysis tool developed at CEPBA, to collect data and statistics and to show the trace of each process during the tests.…”
Section: Resultsmentioning
confidence: 99%
“…We used PAR-AVER [20], a visualization and performance analysis tool developed at CEPBA, to collect data and statistics and to show the trace of each process during the tests.…”
Section: Resultsmentioning
confidence: 99%
“…The tools Paraver and Dimemas [11] developed by the Barcelona Supercomputing Center provide interactive event trace visualization and trace-based replay. They allow performance analysis as well as simulation of parallel run-time behaviour under altered conditions.…”
Section: Background and Related Workmentioning
confidence: 99%
“…However, a wide number of papers deals with parallel and distributed system modeling and performance analysis [17][18], and it is likely that many existing simulation environments and tools could be applied to carry out performance analyses similar to those that are the object of this paper. Other authors focus their interest in tools for performance-driven software development, mainly in the context of Performance Engineering (see per example [19][20]).…”
Section: Related Workmentioning
confidence: 99%