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Source: libjsr166y-java
Maintainer: Debian Java Maintainers <pkg-java-maintainers@lists.alioth.debian.org>
Uploaders: Miguel Landaeta <nomadium@debian.org>
Section: java
Priority: optional
Build-Depends: debhelper-compat (= 13),
default-jdk,
javahelper,
maven-repo-helper
Standards-Version: 4.6.2
Homepage: https://gee.cs.oswego.edu/dl/concurrency-interest/
Vcs-Git: https://salsa.debian.org/java-team/libjsr166y-java.git
Vcs-Browser: https://salsa.debian.org/java-team/libjsr166y-java
Package: libjsr166y-java
Architecture: all
Depends: ${misc:Depends}
Multi-Arch: foreign
Description: Parallel computation framework for Java
Java framework that supports a style of parallel programming
in which problems are solved by (recursively) splitting them
into subtasks that are solved in parallel, waiting for them
to complete, and then composing results.
.
Fork/Join parallelism is among the simplest and most
effective design techniques for obtaining good parallel
performance. Fork/Join algorithms are parallel versions
of familiar divide-and-conquer algorithms.
.
JSR166y includes a parallel computation framework:
ForkJoinTasks and their related support classes provide a
very efficient basis for obtaining platform-independent
parallel speed-ups of computation-intensive operations.
Package: libjsr166y-java-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}
Suggests: default-jdk-doc,
libjsr166y-java
Multi-Arch: foreign
Description: Documentation for libjsr166y-java
Documentation for JSR166 that provides a Java framework that
supports a style of parallel programming in which problems are
solved by (recursively) splitting them into subtasks that
are solved in parallel, waiting for them to complete, and
then composing results.
.
Fork/Join parallelism is among the simplest and most
effective design techniques for obtaining good parallel
performance. Fork/Join algorithms are parallel versions
of familiar divide-and-conquer algorithms.
.
JSR166y includes a parallel computation framework:
ForkJoinTasks and their related support classes provide a
very efficient basis for obtaining platform-independent
parallel speed-ups of computation-intensive operations.
.
This package contains javadocs for jsr166y and extra166y
Java packages.
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