Draft for August monthly report
Here is a draft I created for the August monthly report. Feedback welcome. Deron - SystemML SystemML provides declarative large-scale machine learning (ML) that aims at flexible specification of ML algorithms and automatic generation of hybrid runtime plans ranging from single node, in-memory computations, to distributed computations running on Apache Hadoop MapReduce and Apache Spark. SystemML has been incubating since 2015-11-02. Three most important issues to address in the move towards graduation: - Grow SystemML community: increase mailing list activity, increase adoption of SystemML for scalable machine learning, encourage data scientists to adopt DML and PyDML algorithm scripts, respond to user feedback to ensure SystemML meets the requirements of real-world situations, write papers, and present talks about SystemML. - Continue to produce releases. - Increase the diversity of our project's contributors and committers. Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be aware of? NONE. How has the community developed since the last report? Our mailing list from May through July had 237 messages including a wide range of topics. We have gained 6 new contributors since May 1st. On GitHub, the project has been starred 365 times and forked 129 times. Fred Reiss spoke at Spark Summit on June 7 about building custom machine learning algorithms with SystemML. Mike Dusenberry presented about SystemML on May 19 at Datapalooza Denver. How has the project developed since the last report? We produced our second Apache release, version 0.10.0-incubating. The project has had 205 commits since May 1. 187 issues have been reported on our JIRA site and 127 issues have been resolved. 70 pull requests have been created since May 1, and 63 of these have been closed. Date of last release: 2016-06-15 (version 0.10.0-incubating) When were the last committers or PMC members elected? 2016-05-07 Glenn Weidner 2016-05-07 Faraz Makari Manshadi
Re: Draft for August monthly report
this looks already pretty good - thanks Deron for pulling it together. Furthermore, you could include the following paper, published July 29: Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald: Compressed Linear Algebra for Large-Scale Machine Learning, PVLDB 9(12), 2016. http://www.vldb.org/pvldb/vol9/p960-elgohary.pdf Regards, Matthias From: Deron Eriksson To: dev@systemml.incubator.apache.org Date: 08/02/2016 05:39 PM Subject:Draft for August monthly report Here is a draft I created for the August monthly report. Feedback welcome. Deron - SystemML SystemML provides declarative large-scale machine learning (ML) that aims at flexible specification of ML algorithms and automatic generation of hybrid runtime plans ranging from single node, in-memory computations, to distributed computations running on Apache Hadoop MapReduce and Apache Spark. SystemML has been incubating since 2015-11-02. Three most important issues to address in the move towards graduation: - Grow SystemML community: increase mailing list activity, increase adoption of SystemML for scalable machine learning, encourage data scientists to adopt DML and PyDML algorithm scripts, respond to user feedback to ensure SystemML meets the requirements of real-world situations, write papers, and present talks about SystemML. - Continue to produce releases. - Increase the diversity of our project's contributors and committers. Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be aware of? NONE. How has the community developed since the last report? Our mailing list from May through July had 237 messages including a wide range of topics. We have gained 6 new contributors since May 1st. On GitHub, the project has been starred 365 times and forked 129 times. Fred Reiss spoke at Spark Summit on June 7 about building custom machine learning algorithms with SystemML. Mike Dusenberry presented about SystemML on May 19 at Datapalooza Denver. How has the project developed since the last report? We produced our second Apache release, version 0.10.0-incubating. The project has had 205 commits since May 1. 187 issues have been reported on our JIRA site and 127 issues have been resolved. 70 pull requests have been created since May 1, and 63 of these have been closed. Date of last release: 2016-06-15 (version 0.10.0-incubating) When were the last committers or PMC members elected? 2016-05-07 Glenn Weidner 2016-05-07 Faraz Makari Manshadi
Re: Draft for August monthly report
Thank you for the additional information. The August report has been submitted at https://wiki.apache.org/incubator/August2016. Deron On Tue, Aug 2, 2016 at 9:12 PM, Matthias Boehm wrote: > this looks already pretty good - thanks Deron for pulling it together. > Furthermore, you could include the following paper, published July 29: > > Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, > Berthold Reinwald: Compressed Linear Algebra for Large-Scale Machine > Learning, PVLDB 9(12), 2016. > http://www.vldb.org/pvldb/vol9/p960-elgohary.pdf > > Regards, > Matthias > > > [image: Inactive hide details for Deron Eriksson ---08/02/2016 05:39:53 > PM---Here is a draft I created for the August monthly report. F]Deron > Eriksson ---08/02/2016 05:39:53 PM---Here is a draft I created for the > August monthly report. Feedback welcome. Deron > > From: Deron Eriksson > To: dev@systemml.incubator.apache.org > Date: 08/02/2016 05:39 PM > Subject: Draft for August monthly report > -- > > > > Here is a draft I created for the August monthly report. Feedback welcome. > > Deron > > - > SystemML > > SystemML provides declarative large-scale machine learning (ML) that aims > at > flexible specification of ML algorithms and automatic generation of hybrid > runtime plans ranging from single node, in-memory computations, to > distributed computations running on Apache Hadoop MapReduce and Apache > Spark. > > SystemML has been incubating since 2015-11-02. > > Three most important issues to address in the move towards graduation: > > - Grow SystemML community: increase mailing list activity, >increase adoption of SystemML for scalable machine learning, encourage >data scientists to adopt DML and PyDML algorithm scripts, respond to >user feedback to ensure SystemML meets the requirements of real-world >situations, write papers, and present talks about SystemML. > - Continue to produce releases. > - Increase the diversity of our project's contributors and committers. > > Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be > aware of? > > NONE. > > How has the community developed since the last report? > > Our mailing list from May through July had 237 messages including a wide > range of topics. We have gained 6 new contributors since May 1st. On > GitHub, > the project has been starred 365 times and forked 129 times. Fred Reiss > spoke at Spark Summit on June 7 about building custom machine learning > algorithms with SystemML. Mike Dusenberry presented about SystemML on May > 19 > at Datapalooza Denver. > > How has the project developed since the last report? > > We produced our second Apache release, version 0.10.0-incubating. The > project has had 205 commits since May 1. 187 issues have been reported on > our JIRA site and 127 issues have been resolved. 70 pull requests have > been > created since May 1, and 63 of these have been closed. > > Date of last release: > > 2016-06-15 (version 0.10.0-incubating) > > When were the last committers or PMC members elected? > > 2016-05-07 Glenn Weidner > 2016-05-07 Faraz Makari Manshadi > > >
