Группа :: Development/Tools
Пакет: scalasca
Главная Изменения Спек Патчи Sources Загрузить Gear Bugs and FR Repocop
Текущая версия: 1.2-alt1
Время сборки: 3 сентября 2009, 19:42 ( 760.1 недели назад )
Размер архива: 4.23 Mb
Домашняя страница: http://www.fz-juelich.de/jsc/scalasca/
Лицензия: MIT
О пакете: Scalable performance Analysis of Large-Scale parallel Applications
Описание:
Список всех майнтейнеров, принимавших участие
в данной и/или предыдущих сборках пакета: Список rpm-пакетов, предоставляемый данным srpm-пакетом:
ACL:
Время сборки: 3 сентября 2009, 19:42 ( 760.1 недели назад )
Размер архива: 4.23 Mb
Домашняя страница: http://www.fz-juelich.de/jsc/scalasca/
Лицензия: MIT
О пакете: Scalable performance Analysis of Large-Scale parallel Applications
Описание:
The KOJAK project (Kit for Objective Judgement And Knowledge-based
detection of performance bottlenecks) was part of the European IST
working group APART, and has been complemented by the SCALASCA project
(Scalable performance Analysis of Large-Scale parallel Applications).
The projects aim to develop a generic automatic performance analysis
environment for parallel applications. Performance problems are specified
in terms of execution patterns that represent situations of inefficient
behavior. These patterns are input for an analysis process that recognizes
and quantifies the inefficient behavior in event traces. Mechanisms that
hide the complex relationships within event pattern specifications allow a
simple description of inefficient behavior on a high level of abstraction.
Текущий майнтейнер: Eugeny A. Rostovtsev (REAL) detection of performance bottlenecks) was part of the European IST
working group APART, and has been complemented by the SCALASCA project
(Scalable performance Analysis of Large-Scale parallel Applications).
The projects aim to develop a generic automatic performance analysis
environment for parallel applications. Performance problems are specified
in terms of execution patterns that represent situations of inefficient
behavior. These patterns are input for an analysis process that recognizes
and quantifies the inefficient behavior in event traces. Mechanisms that
hide the complex relationships within event pattern specifications allow a
simple description of inefficient behavior on a high level of abstraction.
Список всех майнтейнеров, принимавших участие
в данной и/или предыдущих сборках пакета: Список rpm-пакетов, предоставляемый данным srpm-пакетом:
- cube
- cube-qt
- cube-wx
- libscalasca
- libscalasca-devel
- libscalasca-devel-doc
- libscalasca-devel-static
- libsz0
- libsz0-devel
- libsz0-devel-static
- libsz0-headers
- scalasca
- scalasca-devel-example
- scalasca-doc