mirror of
https://github.com/gentoo-mirror/guru.git
synced 2026-07-10 07:33:19 -04:00
33 lines
1.4 KiB
XML
33 lines
1.4 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
|
|
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
|
|
<pkgmetadata>
|
|
<maintainer type="person">
|
|
<email>lssndrbarbieri@gmail.com</email>
|
|
<name>Alessandro Barbieri</name>
|
|
</maintainer>
|
|
<upstream>
|
|
<remote-id type="github">LLNL/muster</remote-id>
|
|
</upstream>
|
|
<longdescription lang="en">
|
|
The Muster library provides implementations of serial and parallel K-Medoids
|
|
clustering algorithms. It is intended as a general framework for parallel
|
|
cluster analysis, particularly for performance data analysis on systems with
|
|
very large numbers of processes.
|
|
|
|
The parallel implementations in the Muster are designed to perform well even
|
|
in environments where the data to be clustered is entirely distributed. For
|
|
example, many performance tools need to analyze one data element from each
|
|
process in a system. To analyze this data efficiently, clustering algorithms
|
|
that move as little data as possible are required. In Muster, we exploit
|
|
sampled clustering algorithms to realize this efficiency.
|
|
|
|
The parallel algorithms in Muster are implemented using the Message Passing
|
|
Interface (MPI), making them suitable for use on many of the world's largest
|
|
supercomputers. They should, however, also run efficiently on your laptop.
|
|
</longdescription>
|
|
<use>
|
|
<flag name="pmpi">Build with PMPI bindings</flag>
|
|
<flag name="tests">Build and install test programs</flag>
|
|
</use>
|
|
</pkgmetadata>
|