Bug#586734: ITP: libjsr166y-java -- parallel computation framework for Java
 

Package: wnpp
Severity: wishlist
Owner: Miguel Landaeta <miguel@miguel.cc>

* Package name : libjsr166y-java
Version : 1.72
Upstream Author : Doug Lea <dl@cs.oswego.edu>
* URL : http://gee.cs.oswego.edu/dl/concurrency-interest/
* License : Public Domain
Programming Lang: Java
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.

This package is needed for GPars (a parallelism framework
for Groovy language).

--
Miguel Landaeta, miguel at miguel.cc
secure email with PGP 0x7D8967E9 available at http://keyserver.pgp.com/
"Faith means not wanting to know what is true." -- Nietzsche



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Bug#586734: ITP: libjsr166y-java -- parallel computation framework for Java
 

Package: wnpp
Severity: wishlist
Owner: Miguel Landaeta <miguel@miguel.cc>

* Package name : libjsr166y-java
Version : 1.72
Upstream Author : Doug Lea <dl@cs.oswego.edu>
* URL : http://gee.cs.oswego.edu/dl/concurrency-interest/
* License : Public Domain
Programming Lang: Java
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.

This package is needed for GPars (a parallelism framework
for Groovy language).

--
Miguel Landaeta, miguel at miguel.cc
secure email with PGP 0x7D8967E9 available at http://keyserver.pgp.com/
"Faith means not wanting to know what is true." -- Nietzsche



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To UNSUBSCRIBE, email to debian-devel-REQUEST@lists.debian.org
with a subject of "unsubscribe". Trouble? Contact listmaster@lists.debian.org
Archive: 20100622021436.GA7494@miguel.cc">http://lists.debian.org/20100622021436.GA7494@miguel.cc