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This was extracted (@ 2020-10-21 20:10) from a list of minutes which have been approved by the Board.
Please Note The Board typically approves the minutes of the previous meeting at the beginning of every Board meeting; therefore, the list below does not normally contain details from the minutes of the most recent Board meeting.

Meeting times vary, the exact schedule is available to ASF Members and Officers, search for "calendar" in the Foundation's private index page (svn:foundation/private-index.html).

SystemDS

16 Sep 2020

Change the Apache SystemDS Project Chair

 WHEREAS, the Board of Directors heretofore appointed Jon Deron Eriksson
 (deron) to the office of Vice President, Apache SystemDS, and

 WHEREAS, the Board of Directors is in receipt of the resignation of Jon
 Deron Eriksson from the office of Vice President, Apache SystemDS, and

 WHEREAS, the Project Management Committee of the Apache SystemDS
 project has chosen by vote to recommend Matthias Boehm (mboehm7) as the
 successor to the post;

 NOW, THEREFORE, BE IT RESOLVED, that Jon Deron Eriksson is relieved and
 discharged from the duties and responsibilities of the office of Vice
 President, Apache SystemDS, and

 BE IT FURTHER RESOLVED, that Matthias Boehm be and hereby is appointed
 to the office of Vice President, Apache SystemDS, to serve in
 accordance with and subject to the direction of the Board of Directors
 and the Bylaws of the Foundation until death, resignation, retirement,
 removal or disqualification, or until a successor is appointed.

 Special Order 7C, Change the Apache SystemDS Project Chair,
 was approved by Unanimous Vote of the directors present.

16 Sep 2020 [Jon Deron Eriksson / Patricia]

## Description:
Apache SystemDS is a machine learning (ML) system for the end-to-end
data science lifecycle from data preparation, validation, and cleaning,
over efficient ML training, to model debugging and deployment. Data
scientists specify ML algorithms or ML pipelines in a high-level
language with R-like syntax - or through related Python and Java APIs,
and the system automatically generates hybrid runtime plans of single
node, in-memory operations as well as distributed operations on top of
Apache Spark.

## Project Status:
- The name change from Apache SystemML to Apache SystemDS has been
 completed (thanks to the INFRA team for changing all relevant services
 such as JIRA, Github URLs, website, and mailing lists).

- We're currently in preparation of the SystemDS 2.0 release,
 hopefully to be released by end of September.

- Change PMC chair: According to the board feedback on our 08/2020
 report, we had an explicit vote on changing the PMC chair, and this
 resolution has been submitted to the board for approval.

## Membership Data:
- Apache SystemML - now SystemDS - was founded 2017-05-16
 (incubator process entered 2015-11-02)
- 4 new committers have been added 2020-05-01
 (Arnab Phani, Mark Dokter, Shafaq Siddiqi, and Kevin Innerebner).
- 1 new committer has been added 2020-06-08
 (Sebastian Baunsgaard)
- Rich Bowen has resigned from the PMC 2020-08-19
- There are currently 31 committers and 22 PMC members in the project.

## Activity and Health:
- Code activity is healthy with 175 commits in the last 3 months.
- Community growth is healthy with 1 new committer and 20 active
 contributors in the last 3 months
- Communication is healthy but mailing list activity can be improved.

## Releases:
- Apache SystemML 1.2.0 was released on 2018-08-24.
- SystemDS 0.2.0 was released (outside ASF) on 2020-03-24
 https://github.com/tugraz-isds/systemds/releases
- in progress of preparing the SystemDS 2.0 release
 (for reconciling the previous SystemML and SystemDS version lines)

## Answers to Board Questions:
- ss: I'm unclear what this means, could you please clarify? "-
     SystemDS 0.2.0 was released (outside ASF) on 2020-03-24"

 ps: The situation is complicated by a merge and name change from
     SystemML to SystemDS, but neither set of mailing lists seems to
     have a release vote early this year.

This statement referred to the System 0.2 release [1]. SystemDS was
forked from Apache SystemML in Sep 2018, and this v0.2 was the last
release of the forked, non-ASF open source system (Mar 2020). After
PMC discussions end of 2019, we merged SystemDS with Apache SystemML
in Apr 2020, to form Apache SystemDS.

[1] https://github.com/tugraz-isds/systemds/releases/tag/v0.2.0

- curcuru: Reminder: to change the PMC's chair, you should have a PMC
          vote, and you must submit a resolution to the board.
          https://apache.org/dev/pmc#newchair

Thanks, I misinterpreted the guidelines. We now had a successful vote
and we have submitted the resolution to the board.

19 Aug 2020 [Jon Deron Eriksson / Patricia]

## Description:
SystemDS is a machine learning (ML) system for the end-to-end
data science lifecycle from data preparation, validation, and cleaning,
over efficient ML training, to model debugging and deployment. Data
scientists specify ML algorithms or ML pipelines in a high-level
language with R-like syntax - or through related Python and Java APIs,
and the system automatically generates hybrid runtime plans of single
node, in-memory operations as well as distributed operations on top of
Apache Spark.

## Project Status:
- The name change from Apache SystemML to Apache SystemDS has been
 completed (thanks to the INFRA team for changing all relevant services
 such as JIRA, Github URLs, website, and mailing lists).

- We're currently in preparation the SystemDS 2.0 release,
 hopefully to be released by end of August or soon thereafter.

- Change project chair: The SystemDS PMC (including its chair Jon Deron
 Eriksson) agreed to the resolution of making Matthias Boehm the new
 SystemDS chair (see private@ message, May 13), and Matthias is happy
 to take over this responsibility.

## Membership Data:
- Apache SystemML - now SystemDS - was founded 2017-05-16
 (incubator process entered 2015-11-02)
- 4 new committers have been added 2020-05-01
 (Arnab Phani, Mark Dokter, Shafaq Siddiqi, and Kevin Innerebner).
- 1 new committer has been added 2020-06-08
 (Sebastian Baunsgaard)
- There are currently 31 committers and 23 PMC members in the project.

## Activity and Health:
- Code activity is healthy with 142 commits in the last 3 months.
- Community growth is healthy with 1 new committer and 22 active
 contributors in the last 3 months
- Communication is healthy but mailing list activity can be improved.

## Releases:
- Apache SystemML 1.2.0 was released on 2018-08-24.
- SystemDS 0.2.0 was released (outside ASF) on 2020-03-24
- in progress of preparing the SystemDS 2.0 release
 (for reconciling the previous SystemML and SystemDS version lines)

@Patricia: follow up about SystemDS 0.2.0 informal release

20 May 2020 [Jon Deron Eriksson / Sam]

## Description:
SystemML is a declarative large-scale machine learning (ML) system that
allows the flexible specification of ML algorithms via an R-like syntax
and automatically generates hybrid runtime plans of single node,
in-memory operations as well as distributed operations on top of Apache
Spark. SystemDS extends this scope to the end-to-end data science
lifecycle (from data cleaning and preparation, over model training, to
debugging and deployment) as well as privacy-preserving federated learning.

## Project Status:
- After an internal discussion and positive feedback, the SystemDS fork
of Apache SystemML has been merged back into the Apache repository on
2020-03-27. This merge preserved the history of individual commits (430)
and respective contributors (16 of 17 new to SystemML).

- The name change to Apache SystemDS has been approved
(PODLINGNAMESEARCH-179), and we intend (after this report has been
approved) to work with the INFRA team to change the Github repo, JIRA, etc.

- Once the name change has been completed, we intend to release Apache
SystemDS 2.0 (to continue the Apache SystemML releases, but clearly
communicate the new scope).

## Membership Data:
- Apache SystemML was founded 2017-05-16 (incubator process entered
2015-11-02)
- There are currently 30 committers and 23 PMC members in the project.
- 4 new committers have been added 2020-05-01 (Arnab Phani, Mark Dokter,
Shafaq Siddiqi, and Kevin Innerebner).

## Activity and Health:
- Code activity is healthy with 149 commits in the last 3 months.
- Community growth is healthy with 4 new committers and 20 active
contributors in the last 3 months
- Communication is healthy but mailing list activity can be improved.

## Releases:
- Apache SystemML 1.2.0 was released on 2018-08-24.
- SystemDS 0.2.0 was released (outside ASF) on 2020-03-24

19 Feb 2020 [Jon Deron Eriksson / Ted]

## Description:
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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:
Little development has happened in the main project in the last year. On the
private list, there is discussion about merging an active fork of SystemML
back into the main project. This fork is SystemDS, led by Matthias Boehm, the
largest contributor to SystemML. Matthias has proposed nominating the 4 most
active SystemDS team members to be committers. He has stated that he would
require that the project name is changed to SystemDS. He has discussed this
name change process with Mark Thomas. The responses on the private list
regarding merging of the active fork have been positive.

## Membership Data:
Apache SystemML was founded 2017-05-16 (3 years ago)
There are currently 26 committers and 23 PMC members in this project.
The Committer-to-PMC ratio is roughly 7:6.

Community changes, past quarter:
- No new PMC members. Last addition was Arvind Surve on 2017-05-16.
- No new committers. Last addition was Guobao Li on 2018-08-28.

## Project Activity:
There was one commit to the project this quarter.
One pull request was opened and closed this quarter.
The most recent release was 1.2.0 on Aug 24, 2018.

## Community Health:
The community is currently unhealthy.
There is little email activity.
Community health should significantly improve if SystemDS is merged into the
main project.

## Answers to Board Questions:

myrle: Thank you for your clear and frank assessment of the state of
 the project community. Is it time to retire SystemML?

Henry Saputra initiated a discussion about possibly retiring SystemML to the
attic. In this discussion, the possibility of merging the active SystemDS fork
into the main Apache project was discussed. All responses on the private list
to the proposal to merge SystemDS into SystemML have been positive.

20 Nov 2019 [Jon Deron Eriksson / Myrle]

## Description:
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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:
There were no commits to the project this quarter. Activity on the project has
largely stopped.

## Membership Data:
Apache SystemML was founded 2017-05-16 (2 years ago)
There are currently 26 committers and 23 PMC members in this project.
The Committer-to-PMC ratio is roughly 7:6.

Community changes, past quarter:
- No new PMC members. Last addition was Arvind Surve on 2017-05-16.
- No new committers. Last addition was Guobao Li on 2018-08-28.

## Project Activity:
There has been only 1 commit since May.
No pull requests have been opened or closed since May.
The most recent release was 1.2.0 on Aug 24, 2018.

## Community Health:
The community is unhealthy.
There is little email activity.
Adding significant features to the project in the future will be difficult
without support from existing contributors with a deep knowledge of SystemML,
and these contributors do not appear to be active anymore.

## Answers to Board Questions:

myrle: Thank you for answering my question. Are there any plans to
 add new committers or make the existing committers PMC
 members? It might help with project activity levels and with
 working through your hanging pull requests

Currently there are no plans to add new committers since there is so little
activity on the project. There are only 2 commits from people who are
not already committers in the last year. WRT PMC members, 23 of the 26
committers are already PMC members, and there is no activity in the last year
from 2 of the 3 committers who are not PMC members, and only 3 commits from
the other committer, so my feeling is that making existing committers PMC
members probably would not help jumpstart project activity.

@Myrle: pursue a roll call for SystemML

21 Aug 2019 [Jon Deron Eriksson / Danny]

## Description:
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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:
Project activity has dropped off significantly this quarter.

## Membership Data:
Apache SystemML was founded 2017-05-17 (2 years ago)
There are currently 26 committers and 23 PMC members in this project.
The Committer-to-PMC ratio is roughly 7:6.

Community changes, past quarter:
- No new PMC members. Last addition was Arvind Surve on 2017-05-17.
- No new committers. Last addition was Guobao Li on 2018-08-29.

## Project Activity:
Activity has dropped significantly.
- There were 3 emails on the dev list this quarter.
- There has been only 1 commit since May.
- No pull requests have been opened or closed this quarter.

The most recent release was 1.2.0 on Aug 24, 2018.

## Community Health:
The SystemML community currently is unhealthy.
Email activity appears to indicate a declining interest in the project.
Activity has dropped off from the two most active committers to the
project in the last year (114 of the 135 total commits). This is concerning
in terms of community health because it will make it difficult to review
new contributions without the assistance of existing committers with a
deep knowledge of the project.

## Answers to Board Questions:

 mk: I notice you have some very old pull requests that haven't
      received feedback. j143-bot in particular seems to be getting
      "starved". Do you have enough active committers to handle
      contributions from non-committers?

Great question. I believe j143-bot/j143-zz/j143 all refer to one of our
most active committers (with over 30 commits) in the past 2 years. I
believe the SystemML community has done a great job of welcoming
contributions from both committers and non-committers in the past. However,
I do believe this will be difficult to do in the future (not enough active
committers) if the current activity trend continues.

15 May 2019 [Jon Deron Eriksson / Myrle]

## Description:

 - 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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:

 - There are no issues requiring board attention at this time.

## Activity:

 - The latest release, 1.2.0, was approved on August 24th, 2018.
 - No new committers were added this quarter.

## Health report:

 - Code activity is healthy with 27 commits in the last 3 months.
 - Community growth is healthy with our last new committer approved in August.
 - Communication on the dev mailing list is significantly up. 126 emails were
   sent to the dev list this quarter.

## PMC changes:

 - Currently 23 PMC members.
 - No new PMC members added in the last 3 months
 - Last PMC addition was Arvind Surve on Tue May 16 2017

## Committer base changes:

 - Currently 26 committers.
 - No new committers added in the last 3 months
 - Last committer addition was Guobao Li at Tue Aug 28 2018

## Releases:

 - Last release was 1.2.0, released on Fri Aug 24 2018

## Mailing list activity:

 - We observed significantly higher email traffic to dev and issues.

 - dev@systemml.apache.org:
    - 109 subscribers (down -4 in the last 3 months):
    - 126 emails sent to list (6 in previous quarter)

 - issues@systemml.apache.org:
    - 14 subscribers (down -1 in the last 3 months):
    - 60 emails sent to list (23 in previous quarter)


## JIRA activity:

 - 20 JIRA tickets created in the last 3 months
 - 12 JIRA tickets closed/resolved in the last 3 months

20 Feb 2019 [Jon Deron Eriksson / Shane]

## Description:

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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:

- There are no issues requiring board attention at this time.

## Activity:

- The latest release, 1.2.0, was approved on August 24th, 2018.
- No new committers were added this quarter.

## Health report:

- Code activity is healthy with 25 commits in the last 3 months.
- Community growth is healthy with our last new committer approved in August.
- Communication on the dev mailing list is down. 6 emails were sent to the dev
 list this quarter.

## PMC changes:

- Currently 23 PMC members.
- No new PMC members were added in the last 3 months.

## Committer base changes:

- Currently 26 committers.
- No new committers added in the last 3 months.
- Guobao Li was added as a committer on August 28, 2018.

## Releases:

- Version 1.2.0 was released on August 24, 2018.

21 Nov 2018 [Jon Deron Eriksson / Isabel]

## Description:

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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:

- There are no issues requiring board attention at this time.

## Activity:

- The latest release, 1.2.0, was approved on August 24th, 2018.
- One new committer was added this quarter.

## Health report:

- Code activity is healthy with 69 commits in the last 3 months.
- Community growth is healthy with our last new committer approved in August.
- Communication on the dev mailing list is down. 30 emails were sent to the
 dev list this quarter but no emails in the last 2 months.

## PMC changes:

- Currently 23 PMC members.
- No new PMC members were added in the last 3 months.

## Committer base changes:

- Currently 26 committers.
- Guobao Li was added as a committer on August 28, 2018.

## Releases:

- Version 1.2.0 was released on August 24, 2018.

15 Aug 2018 [Jon Deron Eriksson / Brett]

## Description:

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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:

- There are no issues requiring board attention at this time.

## Activity:

- The latest release, 1.1.0, was approved on March 28, 2018.
- No new committers were added this quarter.
- Release planning for 1.2 was discussed on the mailing list but no action has
  been taken so far.

## Health report:

- Code activity is healthy with 232 commits in the last 3 months.
- Community growth is relatively healthy with our last new committer approved
  in March.
- Communication is healthy on pull requests. Communication on the mailing list
  is down but there were still 61 emails sent to the list this quarter.

## PMC changes:

 - Currently 23 PMC members.
 - No new PMC members have been added since we became a top-level project.

## Committer base changes:

 - Currently 25 committers.
 - Janardhan Pulivarthi was added as a committer on March 19, 2018.

## Releases:

 - Version 1.1.0 was released on March 28, 2018.

16 May 2018 [Jon Deron Eriksson / Rich]

## Description:

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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:

- There are no issues requiring board attention at this time.

## Activity:

- The Apache SystemML 1.1.0 release was approved on March 28, 2018.
- We added our second committer since becoming a top-level project.
- We are currently planning our 1.2 release.

## Health report:

- Code activity is healthy with 226 commits in the last 3 months.
- Community growth is healthy with our last new committer approved in March.
- Communication is healthy on mailing list, JIRAs, and pull requests.

## PMC changes:

 - Currently 23 PMC members.
 - No new PMC members have been added since we became a top-level project.

## Committer base changes:

 - Currently 25 committers.
 - Janardhan Pulivarthi was added as a committer on March 19, 2018.

## Releases:

 - Version 1.1.0 was released on March 28, 2018.

21 Feb 2018 [Jon Deron Eriksson / Brett]

## Description:

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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:

- There are no issues requiring board attention at this time.

## Activity:

- The Apache SystemML 1.0.0 release was approved on December 12, 2017.
- We added our first new committer since becoming a top-level project on
 October 25, 2017.
- We are currently planning our 1.1 release.

## Health report:

- Code activity is healthy with 237 commits in the last 3 months.
- Community growth is healthy with our last new committer approved in October.
- Communication is healthy on mailing list, JIRAs, and pull requests.

## PMC changes:

- Currently 23 PMC members.
- Felix Schüler was elected as PMC member on April 19, 2017.

## Committer base changes:

- Currently 24 committers.
- Krishna Kalyan was added as a committer on October 25, 2017.

## Releases:

- Version 1.0.0 was released on December 12, 2017.

15 Nov 2017 [Jon Deron Eriksson / Mark]

[REPORT] Apache SystemML - November 2017

## Description:

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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:

- There are no issues requiring board attention at this time.

## Activity:

- We graduated as an Apache top-level project on May 18, 2017.
- Our first top-level project release (0.15.0) was approved on September,
 13, 2017.
- We added our first new committer since becoming a top-level project on
 October 25, 2017.
- We are planning our 1.0.0 release.

## Health report:

- Code activity is healthy with 270 commits in the last 3 months.
- Community growth is healthy with 1 new contributor and 1 new committer in
 the last 3 months.
- Communication is healthy on mailing list, JIRAs, and pull requests.

## PMC changes:

- Currently 23 PMC members.
- Felix Schüler was elected as PMC member on April 19, 2017.

## Committer base changes:

- Currently 24 committers.
- Krishna Kalyan was added as a committer on October 25, 2017.

## Releases:

- Version 0.15.0 was released on September 13, 2017.

20 Sep 2017 [Deron Eriksson / Jim]

## Description:

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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:

- There are no issues requiring board attention at this time.

## Activity:

- We graduated as an Apache top-level project on May 18, 2017.
- Third phase of GSoC project completed to automate performance testing.
- We are currently voting on our first top-level project release (0.15.0).

## Health report:

- Code activity is healthy with 285 commits in the last 3 months.
- Community growth is healthy with 4 new contributors in the last 3 months.
- Communication at a healthy level on mailing list, JIRAs, and pull requests.

## PMC changes:

- Currently 23 PMC members.
- Felix Schüler was elected as PMC member on April 19, 2017.

## Committer base changes:

- Currently 23 committers.
- Felix Schüler was elected as committer on April 19, 2017.

## Releases:

- Version 0.14.0-incubating was released on May 8, 2017.

16 Aug 2017 [Deron Eriksson / Ted]

## Description:

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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:

- There are no issues requiring board attention at this time.

## Activity:

- We graduated as an Apache top-level project on May 18, 2017.
- We are working towards our first top-level project release.
- Second phase of GSoC project completed to automate performance testing.

## Health report:

- Code activity is healthy with 299 commits in the last 3 months.
- Community growth is healthy with 4 new contributors in the last 2 months.
- Communication at a healthy level on mailing list, JIRAs, and pull requests.

## PMC changes:

- Currently 23 PMC members.
- Felix Schüler was elected as PMC member on April 19, 2017.

## Committer base changes:

- Currently 23 committers.
- Felix Schüler was elected as committer on April 19, 2017.

## Releases:

- Version 0.14.0-incubating was released on May 8, 2017.

19 Jul 2017 [Deron Eriksson / Ted]

## Description:

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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:

- There are no issues requiring board attention at this time.

## Activity:

- We graduated as an Apache top-level project on May 18, 2017.
- We continue to work towards our first release (1.0.0) as an Apache top-
level project.
- First phase of GSoC project completed to automate performance testing and
reporting by Krishna Kalyan and mentored by Nakul Jindal.

## Health report:

- Code activity is healthy with 324 commits in the last 3 months.
- Community growth looks healthy. 3 new contributors in the last month.
- Communication at a healthy level.
- SystemML GitHub mirror has 538 stars and 197 forks.

## PMC changes:

- Currently 23 PMC members.
- Felix Schüler was elected as PMC member on April 19, 2017.

## Committer base changes:

- Currently 23 committers.
- Felix Schüler was elected as committer on April 19, 2017.

## Releases:

- Version 0.14.0-incubating was released on May 8, 2017.

## Mailing list activity:

- dev@systemml.apache.org:
 - 111 subscribers (up 4 in the last 3 months):
 - 326 emails sent to list (353 in previous quarter)

- issues@systemml.apache.org:
 - 11 subscribers (up 2 in the last 3 months):
 - 1437 emails sent to list (1405 in previous quarter)

## JIRA activity:

- 248 JIRA tickets created in the last 3 months
- 188 JIRA tickets closed/resolved in the last 3 months

21 Jun 2017 [Deron Eriksson / Chris]

## Description:

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 such as Apache Hadoop MapReduce and Apache Spark.

## Issues:

- There are no issues requiring board attention at this time.

## Activity:

- We graduated as an Apache top-level project on May 18, 2017.
- We are working towards our first release as a top-level project.

## Health report:

- Code contribution is at a healthy level with 342 commits in the last 3
 months.
- Community growth looks healthy. 1 new PMC member and 4 new contributors
 in the last 3 months.
- Communication at a healthy level.

## PMC changes:

- Currently 23 PMC members.
- Felix Schüler was elected as PMC member on April 19, 2017.

## Committer base changes:

- Currently 23 committers.
- Felix Schüler was elected as committer on April 19, 2017.

## Releases:

- Version 0.14.0-incubating was released on May 8, 2017.

## Mailing list activity:

- dev@systemml.apache.org:
  - 110 subscribers (up 6 in the last 3 months)
  - 334 emails sent to list (315 in previous quarter)

- issues@systemml.apache.org:
  - 10 subscribers (up 1 in the last 3 months)
  - 1439 emails sent to list (1077 in previous quarter)

## JIRA activity:

- 282 JIRA tickets created in the last 3 months
- 217 JIRA tickets closed/resolved in the last 3 months

17 May 2017

Establish the Apache SystemML Project

 WHEREAS, the Board of Directors deems it to be in the best
 interests of the Foundation and consistent with the Foundation's
 purpose to establish a Project Management Committee charged with
 the creation and maintenance of open-source software, for
 distribution at no charge to the public, related to declarative,
 large-scale machine learning that compiles to hybrid runtime
 execution plans ranging from single node, in-memory computations,
 to distributed computations such as on Apache Hadoop MapReduce or
 Apache Spark.

 NOW, THEREFORE, BE IT RESOLVED, that a Project Management Committee
 (PMC), to be known as the "Apache SystemML Project", be and hereby is
 established pursuant to Bylaws of the Foundation; and be it further

 RESOLVED, that the Apache SystemML Project be and hereby is
 responsible for the creation and maintenance of software related to
 declarative, large-scale machine learning; and be it further

 RESOLVED, that the office of "Vice President, Apache SystemML" be and
 hereby is created, the person holding such office to serve at the
 direction of the Board of Directors as the chair of the Apache
 SystemML Project, and to have primary responsibility for management of
 the projects within the scope of responsibility of the Apache SystemML
 Project; and be it further

 RESOLVED, that the persons listed immediately below be and hereby are
 appointed to serve as the initial members of the Apache SystemML
 Project:

  * Alexandre V Evfimievski   <ae2015@apache.org>
  * Arvind Surve              <acs_s@apache.org>
  * Berthold Reinwald         <reinwald@apache.org>
  * DB Tsai                   <dbtsai@apache.org>
  * Deron Eriksson            <deron@apache.org>
  * Faraz Makari              <fmakari@apache.org>
  * Felix Schueler            <fschueler@apache.org>
  * Fred Reiss                <freiss@apache.org>
  * Glenn Weidner             <gweidner@apache.org>
  * Henry Saputra             <hsaputra@apache.org>
  * Holden Karau              <holden@apache.org>
  * Joseph Bradley            <jkbradley@apache.org>
  * Luciano Resende           <lresende@apache.org>
  * Matthias Boehm            <mboehm7@apache.org>
  * Nakul Jindal              <nakul02@apache.org>
  * Mike Dusenberry           <dusenberrymw@apache.org>
  * Niketan Pansare           <niketanpansare@apache.org>
  * Patrick Wendell           <pwendell@apache.org>
  * Prithviraj Sen            <prithvi@apache.org>
  * Reynold Xin               <rxin@apache.org>
  * Rich Bowen                <rbowen@apache.org>
  * Shirish Tatikonda         <shirisht@apache.org>
  * Xiangrui Meng             <meng@apache.org>

 NOW, THEREFORE, BE IT FURTHER RESOLVED, that Deron Eriksson be appointed
 to the office of Vice President, Apache SystemML, to serve in accordance
 with and subject to the direction of the Board of Directors and the Bylaws
 of the Foundation until death, resignation, retirement, removal or
 disqualification, or until a successor is appointed; and be it further

 RESOLVED, that the initial Apache SystemML PMC be and hereby is tasked
 with the creation of a set of bylaws intended to encourage open
 development and increased participation in the Apache SystemML
 Project; and be it further

 RESOLVED, that the Apache SystemML Project be and hereby is tasked
 with the migration and rationalization of the Apache Incubator
 SystemML podling; and be it further

 RESOLVED, that all responsibilities pertaining to the Apache Incubator
 SystemML podling encumbered upon the Apache Incubator PMC are
 hereafter discharged.

 Special Order 7C, Establish the Apache SystemML Project, was
 approved by Unanimous Vote of the directors present.

17 May 2017

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 such as 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:

  1. Grow SystemML community: increase mailing list activity,
   increase adoption of SystemML for scalable machine learning, encourage data
   scientists to adopt DML algorithm scripts, respond to user feedback to
   ensure SystemML meets the requirements of real-world situations, and present
   talks about SystemML.
  2. Continue to produce releases.
  3. 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 350 messages on a variety
 of topics. We gained 1 new contributor to the project since February 1. On
 GitHub, the project has been starred 487 times and forked 184 times.

How has the project developed since the last report?
 The main project has had 334 commits since February 1. 112 pull requests have
 been created since February 1, and 103 pull requests have been closed. Since
 February 1, 348 issues have been reported on our JIRA site and 249 of these
 have been resolved.

How would you assess the podling's maturity?
Please feel free to add your own commentary.

  [ ] Initial setup
  [ ] Working towards first release
  [X] Community building
  [X] Nearing graduation
  [ ] Other:

Date of last release:

  2017-03-02 (version 0.13.0-incubating)

When were the last committers or PPMC members elected?
  2017-05-01 Felix Schüler (PPMC)

Signed-off-by:

  [x](systemml) Luciano Resende
     Comments:
  [X](systemml) Henry Saputra
     Comments:
  [ ](systemml) Patrick Wendell
     Comments:
  [ ](systemml) Reynold Xin
     Comments:
  [ ](systemml) Rich Bowen
     Comments:

IPMC/Shepherd notes:

    Drew Farris (shepherd): Healthy activity on the mailing lists.
       Two mentors active. Looking good.

27 Feb 2017

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:

  1. 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.
  2. Continue to produce releases.
  3. 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 November through January had 249 messages on a
  variety of topics. We gained 2 new contributors to the project since
  November 1. On GitHub, the project has been starred 451 times and forked
  168 times. Elgamal et al wrote the paper "SPOOF: Sum-Product Optimization
  and Operator Fusion for Large-Scale Machine Learning," which was presented
  at CIDR'17 in January.

How has the project developed since the last report?

  The main project has had 114 commits since November 1. 90 pull requests
  have been created since November 1, and 79 pull requests have been closed.
  Since November 1, 143 issues have been reported on our JIRA site and 64 of
  these have been resolved or closed.

Date of last release:

  2016-11-13 (version 0.11.0-incubating)

When were the last committers or PPMC members elected?

 2017-01-19 Nakul Jindal (Committer and PPMC)

Signed-off-by:

  [x](systemml) Henry Saputra
  [x](systemml) Luciano Resende
  [ ](systemml) Patrick Wendell
  [ ](systemml) Reynold Xin
  [ ](systemml) Rich Bowen

16 Nov 2016

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 August through October had 375 messages on a wide
 range of topics. We have gained 4 new contributors to the main project since
 August 1st. Our website has been redesigned with the help of several design
 engineers and we have commits from 3 new contributors to the website
 project. On GitHub, the project has been starred 417 times and forked 156
 times.

 Niketan Pansare gave a talk with the title "Apache SystemML - Declarative
 Machine Learning at Scale" on October 7th in the CS graduate seminar at UC
 Merced. Matthias Boehm gave a talk on "Compressed Linear Algebra for Large-
 Scale Machine Learning" at TU Dresden on August 30th. We presented the
 papers "Compressed Linear Algebra for Large-Scale Machine Learning"
 (research paper + poster) and "SystemML: Declarative Machine Learning on
 Spark" (industry paper) at VLDB'16. The "Compressed Linear Algebra for
 Large-Scale Machine Learning" paper won the VLDB 2016 Best Paper Award. We
 gave two 90 minute tutorials at the BOSS'16 workshop, co-located with
 VLDB'16, and our paper "SPOOF: Sum-Product Optimization and Operator Fusion
 for Large-Scale Machine Learning" has been accepted at CIDR'17.

How has the project developed since the last report?

 The main project has had 213 commits since August 1. The website project has
 had 51 commits since August 1. Since August 1, 241 issues have been reported
 on our JIRA site and 137 issues have been resolved or closed. 79 pull
 requests have been created since August 1, and 72 pull requests 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

Signed-off-by:

 [x](systemml) Luciano Resende
 [ ](systemml) Patrick Wendell
 [ ](systemml) Reynold Xin
 [ ](systemml) Rich Bowen

17 Aug 2016

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 West on June 7 about building custom machine
 learning algorithms with SystemML. Mike Dusenberry presented about
 SystemML on May 19 at Datapalooza Denver. Elgohary, Boehm, Haas, Reiss,
 and Reinwald published Compressed Linear Algebra for Large-Scale Machine
 Learning.

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

Signed-off-by:

 [x](systemml) Luciano Resende
 [ ](systemml) Patrick Wendell
 [ ](systemml) Reynold Xin
 [ ](systemml) Rich Bowen

18 May 2016

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 and
 on April 29 at Rice University 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. We have gained two new contributors since
 February 1st.

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. We are preparing to
 produce our second incubator release.

Date of last release:

 2016-02-15 (version 0.9.0-incubating)

When were the last committers or PMC members elected?

 NONE

Signed-off-by:

 [x](systemml) Luciano Resende
 [ ](systemml) Patrick Wendell
 [ ](systemml) Reynold Xin
 [ ](systemml) Rich Bowen

17 Feb 2016

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.
 - Produce a release (in progress).

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 NONE. We have resolved our blocking infrastructure issues related to
 project JIRA.

How has the community developed since the last report?

 Our mailing list in January had 123 messages (7 of which were Jenkins). We
 have had several useful discussions on the mailing list concerning various
 aspects of SystemML. We have had several additional discussions on our
 JIRA site and in our Pull Request conversations. We have received
 usability feedback which includes filing JIRA issues and mailing list
 activity.

How has the project developed since the last report?

 Numerous additions have been made to the project, including core
 functionality, usability improvements, and documentation. The project has
 had 96 commits since January 6. In the last 30 days, 126 new issues have
 been reported on our JIRA site and 68 issues have been resolved. We are in
 the process of producing our first Apache release, version 0.9.0.  RC3
 passed the SystemML PMC vote and is currently being voted on by the IPMC.

Date of last release:

 NONE

When were the last committers or PMC members elected?

 NONE

Signed-off-by:

 [x](systemml) Luciano Resende
 [ ](systemml) Patrick Wendell
 [ ](systemml) Reynold Xin
 [ ](systemml) Rich Bowen

Shepherd/Mentor notes:

20 Jan 2016

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 such as 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:

 1. 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.
 2. Core library improvements, including Apache Spark integration.
 3. Produce a release

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 The community has been blocked by INFRA-10714 since November.
 Beginning Jan 6th, we are manually updating the missing fields in JIRA so
 that we can properly manage project issues and delegate issues to new
 users to grow our community.

How has the community developed since the last report?

 Users have asked several excellent questions on the dev list, and existing
 committers are actively helping these users. The project is receiving pull
 requests from contributors, committers have discussed these pull requests
 with their contributors, and contributions have been merged into the
 project.  Matthias Boehm has presented talks regarding the SystemML
 Optimizer at TU Dresden, HTW Dresden, and TU Berlin. Fred Reiss presented
 a talk on Dec 8th.

How has the project developed since the last report?

 Numerous core library improvements have been made to project. Additional
 documentation has been created to help new users. The test suite has been
 refactored to increase maintainability and performance. Contributions have
 been made by non-IBM contributors. We are developing our 2016 roadmap,
 as seen in the "[DISCUSS] Project Roadmap" thread on the mailing list at
 <http://s.apache.org/9hK>.

Date of last release:

 NONE

When were the last committers or PMC members elected?

 NONE

Signed-off-by:

 [x](systemml) Luciano Resende
 [ ](systemml) Patrick Wendell
 [ ](systemml) Reynold Xin
 [ ](systemml) Rich Bowen

Shepherd/Mentor notes:

16 Dec 2015

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 such as 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:

 1. 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 SystemML at conferences.
 2. Core library improvements, including Apache Spark integration.
 3. Improved SystemML documentation to lower the learning curve.
 4. Produce a release

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 The community is blocked, and expects that the SystemML Apache JIRA
 site will be available shortly, as detailed in INFRA-10714.

How has the community developed since the last report?

 We have started to see few non original committers ask questions on the
 dev list, and the existing committers are actively helping these
 contributors.

How has the project developed since the last report?

 All infrastructure, except for JIRA, are in place and in use by the
 community.

Date of last release:

 NONE

When were the last committers or PMC members elected?

 NONE

Signed-off-by:

 [x](systemml) Luciano Resende
 [ ](systemml) Patrick Wendell
 [ ](systemml) Reynold Xin
 [ ](systemml) Rich Bowen

Shepherd/Mentor notes: