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From Eric Link <eric.m.l...@gmail.com>
Subject Re: [ANNOUNCE] Apache Mahout 14.1 Release
Date Sun, 13 Dec 2020 14:09:50 GMT
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On Thu, Oct 8, 2020, 9:14 AM Andrew Musselman <akm@apache.org> wrote:

> The Apache Mahout PMC is pleased to announce the release of Mahout 14.1.
> Mahout's goal is to create an environment for quickly creating
> machine-learning applications that scale and run on the highest-performance
> parallel computation engines available. Mahout comprises an interactive
> environment and library that support generalized scalable linear algebra
> and include many modern machine-learning algorithms. This release ships
> some major changes from 0.14.0, most in support of refactoring the build
> system.
>
> To get started with Apache Mahout 14.1, download the release artifacts and
> signatures from https://downloads.apache.org/mahout/14.1/.
>
> Many thanks to the contributors and committers who were part of this
> release.
>
>
> RELEASE HIGHLIGHTS
>
> The theme of the 14.1 release is a major refactor for simplicity of usage
> and maintenance. Pom structure and components have moved, so please ask on
> the mailing lists for help if anything is not where you expect it.
>
>
> STATS
>
> A total of 17 separate JIRA issues are addressed in this release [1].
>
>
> GETTING STARTED
>
> Download the release artifacts and signatures at
> https://mahout.apache.org/general/downloads.html. The examples directory
> contains several working examples of the core functionality available in
> Mahout. These can be run via scripts in the examples/bin directory. Most
> examples do not need a Hadoop cluster in order to run.
>
>
> FUTURE PLANS
>
> 14.2
>
> As the project moves towards a 14.2 release, we are working on the
> following:
>
> * Further Native Integration for increased speedups
>
> * JCuda backing for In-core Matrices and CUDA solvers
>
> * Enumeration across multiple GPUs per JVM instance on a given instance
>
> * GPU/OpenMP Acceleration for linear solvers
>
> * Runtime probing and optimization of available hardware for caching of
> correct/most optimal solver
>
> * Python bindings for DSL
>
>
>
> CONTRIBUTING
>
> If you are interested in contributing, please see our How to Contribute [2]
> page or contact us via email at dev@mahout.apache.org.
>
>
> CREDITS
>
> As with every release, we wish to thank all of the users and contributors
> to Mahout. Please see the JIRA Release Notes [1] for individual credits.
> Big thanks to Chris Dutz for his effort on the refactoring and cleanup in
> this release.
>
>
> KNOWN ISSUES:
>
> * The classify-wikipedia.sh example has an outdated link to the data files.
> A workaround is to change the download section of the script to:  `curl
>
> https://dumps.wikimedia.org/enwiki/latest/enwiki-latest-pages-articles10.xml-p002336425p003046511.bz2
> -o
> <https://dumps.wikimedia.org/enwiki/latest/enwiki-latest-pages-articles10.xml-p002336425p003046511.bz2-o>
> ${WORK_DIR}/wikixml/enwiki-latest-pages-articles.xml.bz2`
>
> * Currently GPU acceleration for supported operations is limited to a
> single JVM instance
>
> * Occasional segfault with certain GPU models and computations
>
> * On older GPUs some tests fail when building ViennaCL due to card
> limitations
>
> * Currently automatic probing of a system’s hardware happens at each
> supported operation, adding some overhead
>
> * Currently the example in the main README errors out due to a packaging
> error; we will be fixing this in the next point release
>
>
>
> [1]
> <
> https://issues.apache.org/jira/issues/?jql=project%20%3D%20MAHOUT%20AND%20issuetype%20in%20(standardIssueTypes()%2C%20subTaskIssueTypes())%20AND%20status%20%3D%20Resolved%20AND%20fixVersion%20in%20(0.13.0%2C%200.13.1%2C%201.0.0)
> >
>
> https://issues.apache.org/jira/browse/MAHOUT-2068?jql=project%20%3D%20MAHOUT%20AND%20issuetype%20in%20(standardIssueTypes()%2C%20subTaskIssueTypes())%20AND%20status%20%3D%20Resolved%20AND%20fixVersion%20in%20(0.14.1%2C%200.14.0)
>
> [2] https://mahout.apache.org/developers/how-to-contribute
>

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