You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@systemml.apache.org by Berthold Reinwald <re...@us.ibm.com> on 2018/03/28 23:02:31 UTC

Draft Release Notes 1.1.0

Please add/update below release note draft prior to putting it on our 
website. Please also go to the JIRA release notes link at the end, and 
update version/status if necessary. Thanks.


* Release Notes - SystemML - Version SystemML 1.1

New Capabilities/Features
- Dense matrix blocks >16GB, and operations
- Support bitwise operators not, and, or, xor, & LShift, Rshift
- Additional ParFor result aggregation operations
- UDFs callable in expressions
- zero rws/columns matrices
- Extended Caffe2DML and Keras2DML APIs

New Builtin Functions
- ifelse()

Performance Improvements
- Ultra-sparse operations

Internals
- Single-precision support for native conv2d and mm operations.
- Consolidate replicated compilation chain
- Generalize Binary Operations to (vector, matrix) Operands
- Use common thread pool

Bug Fixes 
- in APIs, performance bugs, optimizer, runtime, GPU backend, Spark 
backend.

Experimental
- Codegen

Deprecate
- Support for Spark 2.1/2.2 (make switch to newer ANTLR version)

Detailed JIRA release notes are here: 
https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12342282&styleName=Text&projectId=12319522&Create=Create&atl_token=A5KQ-2QAV-T4JA-FDED%7C2e97f76f75a466564dba2a7d0bec5ca06bffd66e%7Clout


Regards,
Berthold Reinwald
IBM Almaden Research Center
office: (408) 927 2208; T/L: 457 2208
e-mail: reinwald@us.ibm.com


Re: Draft Release Notes 1.1.0

Posted by Niketan Pansare <np...@us.ibm.com>.
Thanks Berthold. Overall, the draft looks good to me. Few minor additions:

New Builtin Functions
- Deep learning builtin functions: avg_pool and avg_pool_backward
- assert

New Layers in the NN library:
- Average pooling
- Upsampling
- Low-rank fully connected

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:	"Berthold Reinwald" <re...@us.ibm.com>
To:	dev@systemml.apache.org
Date:	03/28/2018 04:02 PM
Subject:	Draft Release Notes 1.1.0



Please add/update below release note draft prior to putting it on our
website. Please also go to the JIRA release notes link at the end, and
update version/status if necessary. Thanks.


* Release Notes - SystemML - Version SystemML 1.1

New Capabilities/Features
- Dense matrix blocks >16GB, and operations
- Support bitwise operators not, and, or, xor, & LShift, Rshift
- Additional ParFor result aggregation operations
- UDFs callable in expressions
- zero rws/columns matrices
- Extended Caffe2DML and Keras2DML APIs

New Builtin Functions
- ifelse()

Performance Improvements
- Ultra-sparse operations

Internals
- Single-precision support for native conv2d and mm operations.
- Consolidate replicated compilation chain
- Generalize Binary Operations to (vector, matrix) Operands
- Use common thread pool

Bug Fixes
- in APIs, performance bugs, optimizer, runtime, GPU backend, Spark
backend.

Experimental
- Codegen

Deprecate
- Support for Spark 2.1/2.2 (make switch to newer ANTLR version)

Detailed JIRA release notes are here:
https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.org_jira_secure_ReleaseNote.jspa-3Fversion-3D12342282-26styleName-3DText-26projectId-3D12319522-26Create-3DCreate-26atl-5Ftoken-3DA5KQ-2D2QAV-2DT4JA-2DFDED-257C2e97f76f75a466564dba2a7d0bec5ca06bffd66e-257Clout&d=DwIFAg&c=jf_iaSHvJObTbx-siA1ZOg&r=HzVC6v79boGYQrpc383_Kao_6a6SaOkZrfiSrYZVby0&m=fku28ex5cFV8MRqEKRuh-_I3UTefK_Qx_YXQD9UfoWU&s=K6GTOjWQiV6jki5_tkBF1tXLL2SM2Jta2ZXFdjBYbQw&e=



Regards,
Berthold Reinwald
IBM Almaden Research Center
office: (408) 927 2208; T/L: 457 2208
e-mail: reinwald@us.ibm.com