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From Acs S <ac...@yahoo.com.INVALID>
Subject Re: [Discuss} SystemML Roadmap page
Date Mon, 26 Sep 2016 21:37:02 GMT
+1
Probably following line should remove future from it:   Planned for future SystemML 1.0

Lets get this published on SystemML website soon.
-Arvind

      From: Deron Eriksson <deroneriksson@gmail.com>
 To: dev@systemml.incubator.apache.org 
 Sent: Friday, September 23, 2016 12:49 PM
 Subject: Re: [Discuss} SystemML Roadmap page
   
+1

Great idea, Berthold. Adding a roadmap to the project will be a very
welcome addition to the project, both for users and developers.

Deron


On Fri, Sep 23, 2016 at 12:10 PM, Berthold Reinwald <reinwald@us.ibm.com>
wrote:

> In the spirit of other Apache projects, we should publish a Roadmap page.
> The page should be clear on the immediate timeline, point to some future
> projects, and also summarize the past to demonstrate continuum. It is not
> a replacement for jiras or release notes, but just a single place for
> people to go to and see what happened in the past and what will happen
> going forward.
>
>
> SystemML Roadmap
>
>
> SystemML Release Timeline
> =========================
>
> Oct. 2016: SystemML 0.11.0 on Spark 1.x
>
> Nov. 2016: SystemML 0.11.1 on Spark 1.x/2.x
>
> Dec. 2016: SystemML 1.0 on Spark 1.x/2.x
>
>
> Next SystemML 0.11.x
> --------------------
> - Features
>  -- SystemML frames
>  -- New MLContext API
>  -- Transform functions based on SystemML frames
> - Bug fixes
> - Experimental Features / algorithms
>  -- New built-in functions for deep learning (convolution and pooling)
>  -- Deep learning library (DML bodied functions)
>  -- Python DSL integration
>  -- GPU support
>  -- Compressed Linear Algebra
>  -- New Algorithms
>      --- Lasso
>      --- kNN
>      --- Lanczos
>      --- PPCA
>      --- Deep Learning: CNN (Lenet), RBM
>
>
> Planned for future SystemML 1.0
> -------------------------------
> - Rigorous performance and scalability testing (bug fixes)
> - Remove deprecated APIs
> - Remove deprecated functions
>
>
> Planned for future Releases
> ---------------------------
> - Completion of prior experimental features
> - New algorithms: Non-linear SVMs, solvers, decomposition, inversion, etc.
> - DSLs (e.g. Scala, Python) and common DSL architecture
> - R interfaces: R DSL and R wrappers
> - Native Zeppelin Notebook support
> - Code generation
> - Sum product optimizations
> - Tree-based data structures
> - Global dataflow optimizations
>
>
> Prior Releases
> ==============
>
>
> SystemML 0.10.0-incubating (released in June, 2016) (link to release notes
> (
> https://github.com/apache/incubator-systemml-website/
> blob/master/0.10.0-incubating/release_notes.md
> ))
> --------------------------
> - Different types of Spark Matrix Blocks: MCSR, CSR, COO
> - SystemML Frame support in JMLC/CP
> - Initial Deep Learning support
> - API/Scripts: parser error handling, SystemML configuration handling,
> include algorithms in SystemML jar, print matrix
> - New fused operator: wdivmm with variations
> - Performance Features: cache-conscious operations, more multithreaded
> operations, new simplications rewrites
> - New Algorithms: kNN
> - Documentation: javadocs, Jupyter/Zeppeling notebook examples
>
>
> SystemML 0.9.0-incubating (released in Jan. 2016) (link to release notes (
> https://github.com/apache/incubator-systemml-website/
> blob/master/0.9.0-incubating/release_notes.md
> ))
> -------------------------
> - Improvements to MLContext and MLPipeline wrappers
> - New converter utilities for RDDs and DataFrames)
> - New Optimizations for Spark Backend, e.g. eager RDD caching and
> repartitioning, RDD checkpointing, on-demand creation of SparkContext
> - New Runtime Operators for mmult, multihreaded readers and operators.
> - New Algoriths: ALS, Cubic Splines
> - Online documentation
>
>
> Regards,
> Berthold Reinwald
> IBM Almaden Research Center
> office: (408) 927 2208; T/L: 457 2208
> e-mail: reinwald@us.ibm.com
>
>


   
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