Hi Deron, Thanks for writing the draft. I also presented SystemML at Rice University. Can you please add it to the report ?
Link to the event on Rice CS calendar: https://calendar.google.com/calendar/render?eid=MTdqZnJmZHZqM2ExNWlkbWtwa2czZXFzYmcgZnBoYmd1b3JsbzM2azJ0MWk4djk5ODcwbWtAZw&ctz=America/Chicago&sf=true&output=xml#eventpage_6 Thanks, Niketan Pansare IBM Almaden Research Center E-mail: npansar At us.ibm.com http://researcher.watson.ibm.com/researcher/view.php?person=us-npansar From: Deron Eriksson <[email protected]> To: [email protected] Date: 05/02/2016 12:36 PM Subject: Draft - May 2016 SystemML Incubator Podling Report Hi, I created a draft for the May 2016 SystemML podling report that is due this Wednesday. Please provide feedback if you'd like anything updated. For PMC members, if the issue is private related to the project, please use the private mailing list for discussion. Thanks! 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 February through April had 199 messages involving topics such as algorithms, DML functionality, usability, and bug fixes. In addition, we have had many discussions on our JIRA site and in pull request conversations. Fred Reiss presented at Spark Summit East on February 17 about SystemML internals. Berthold Reinwald spoke at the Spark Technology Center on March 9 about scalable machine learning with SystemML. Niketan Pansare spoke on April 28 at Datapalooza in Austin about declarative machine learning at scale with SystemML. Researchers in Germany are working to add Flink as an additional SystemML backend. On GitHub, the project has been starred 267 times and forked 92 times. How has the project developed since the last report? We produced our first Apache release, version 0.9.0-incubating. Numerous additions have been made to the project, including core functionality, usability improvements, and documentation. The project has had 204 commits since February 1. In the same time frame, 155 new issues have been reported on our JIRA site and 77 issues have been resolved. 114 pull requests opened since Febrary 1 have been closed. Date of last release: 2016-02-15 (version 0.9.0-incubating) When were the last committers or PMC members elected? NONE
