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Posted to commits@systemml.apache.org by re...@apache.org on 2018/08/25 05:21:31 UTC
svn commit: r1839017 -
/systemml/site/release-notes/systemml-release-notes-1.2.0.html
Author: reinwald
Date: Sat Aug 25 05:21:31 2018
New Revision: 1839017
URL: http://svn.apache.org/viewvc?rev=1839017&view=rev
Log:
additional roadmap file
Added:
systemml/site/release-notes/systemml-release-notes-1.2.0.html
Added: systemml/site/release-notes/systemml-release-notes-1.2.0.html
URL: http://svn.apache.org/viewvc/systemml/site/release-notes/systemml-release-notes-1.2.0.html?rev=1839017&view=auto
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--- systemml/site/release-notes/systemml-release-notes-1.2.0.html (added)
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+<!--
+
+-->
+<!--
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+<!DOCTYPE html>
+<html lang="en">
+ <!--
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+<head>
+ <meta charset="utf-8">
+ <meta http-equiv="X-UA-Compatible" content="IE=edge">
+
+ <title>SystemML 1.2.0 Release Notes</title>
+
+ <meta name="description" content="Project Release Notes">
+
+ <meta name="author" content="Apache SystemML">
+
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+ <meta property="og:url" content="https://systemml.apache.org/" />
+ <meta property="og:type" content="website" />
+ <meta property="og:title" content="SystemML 1.2.0 Release Notes" />
+ <meta property="og:description" content="Apache SystemML provides an optimal workplace for Machine Learning using big data" />
+ <meta property="og:image" content="" />
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+ <nav class="main-nav">
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+ <div class="ml-container ml-container--horizontally-center">
+ <div class="col col-12 content-group content-group--center-content content-group--center-align">
+ <h1>Apache SystemML<sup id="trademark">™</sup> 1.2.0 Release Notes</h1>
+ </div>
+ </div>
+</section>
+
+<section class="full-stripe full-stripe--alternate">
+ <div class="ml-container">
+ <div class="col col-12 content-group content-group--medium-bottom-margin">
+
+ <p>The Apache SystemML 1.2.0 release was approved on Aug. 24th, 2018. The release includes enhancements, features, and additions as listed below.</p>
+
+ <h3 id="new-builtin-functionsoperationsscriptsfeatures">New Builtin Functions/Operations/Scripts/Features</h3>
+ <ul>
+ <li>Factorization Machines</li>
+ <li>Support for functions with default parameters</li>
+ <li><code>exists()</code> for checking of existing variables</li>
+ <li>Triangular matrix functions: <code>lower.tri()</code> and <code>upper.tri()</code></li>
+ <li>New nary min/max operations</li>
+ <li><code>as.matrix()</code> over list of scalars</li>
+ <li>Function calls with named function arguments</li>
+ <li>Convolution operations (forward/backward)</li>
+ <li>Maxpooling operations (forward)</li>
+ <li>Support for bias_add and bias_mult</li>
+ <li>Global constants</li>
+ <li>Added support for rowProd/colProd</li>
+ <li>DML eval function</li>
+ <li>New data type list for lists and structs</li>
+ </ul>
+
+ <h3 id="api">API</h3>
+ <ul>
+ <li>JMLC API extension for passing multiple dml scripts</li>
+ </ul>
+
+ <h3 id="compiler--runtime">Compiler & Runtime</h3>
+ <ul>
+ <li>Code motion framework</li>
+ <li>Global subexpression elimination</li>
+ <li>Optional rewrite for hoisting loop-invariant operations</li>
+ <li>Improved IPA constant propagation and replacement</li>
+ <li>ParFor Data Partitioning Rewrite on Hops instead of Statements</li>
+ <li>New rewrites for chains of comparisons</li>
+ <li>Extended rewrite framework for codegen plans</li>
+ <li>Improved parfor optimizer rewrite for in-place-update</li>
+ <li>Rework function block recompilation</li>
+ <li>Support rowMeans in codegen row templates</li>
+ </ul>
+
+ <h3 id="performance-improvements">Performance Improvements</h3>
+ <ul>
+ <li>Improved multi-threading of unary aggregates</li>
+ <li>Reuse of fair scheduler pools in local parfor workers</li>
+ <li>Performance issues Spark ctable(X,Y) w/ large num distinct</li>
+ <li>Performance instruction generation</li>
+ <li>Performance sample operations</li>
+ <li>Performance ultra-sparse block operations</li>
+ <li>New native tsmm operator and its integration</li>
+ <li>Multi-threaded unary operations (e.g., exp, log, sigmoid)</li>
+ </ul>
+
+ <h3 id="bug-fixes">Bug Fixes</h3>
+ <ul>
+ <li>Memory leak buffer pool due to missing variable cleanup</li>
+ <li>Missing buffer pool serialization of compressed matrices</li>
+ <li>Compilation failure on inferring size of reshapes w/ zero rows/columns</li>
+ <li>Incorrect result for min/max over matrices with NaNs</li>
+ <li>Missing support for external functions with variable number of outputs</li>
+ <li>Reblock ultra-sparse matrix fails with index out of bounds</li>
+ <li>Performance issue CSE on DAGs w/ many root nodes (e.g., resnet200)</li>
+ <li>Non-fused bias_add builtin creates incorrect results over sparse inputs</li>
+ <li>Inconsistent namespace naming depending on OS</li>
+ <li>Codegen failing on three-way multi-aggregate</li>
+ <li>Codegen optimizer failing for MLogreg special cases</li>
+ <li>Failing matrix market to binary reblock with zero rows/columns</li>
+ </ul>
+
+ <h3 id="deprecatedremovedcleanup">Deprecated/Removed/Cleanup</h3>
+ <ul>
+ <li>Opt level 4</li>
+ <li>File-based removeEmpty()</li>
+ <li>Cleanup exception handling apis/compiler/runtime</li>
+ </ul>
+
+ <h3 id="experimental">Experimental</h3>
+ <ul>
+ <li>Parameter server: local backend and distributed</li>
+ <li>Sparsity estimators</li>
+ </ul>
+
+ <h3 id="jira-release-noteshttpsissuesapacheorgjirasecurereleasenotejspaversion12342959projectid12319522"><a href="https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12342959&projectId=12319522">JIRA release notes</a></h3>
+ </div></div></section>
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