Author: reinwald
Date: Thu Dec 21 19:55:01 2017
New Revision: 1818973

URL: http://svn.apache.org/viewvc?rev=1818973&view=rev
Log:
Add missing 1.0.0 release notes

Added:
    systemml/site/release-notes/systemml-release-notes-1.0.0.html

Added: systemml/site/release-notes/systemml-release-notes-1.0.0.html
URL: 
http://svn.apache.org/viewvc/systemml/site/release-notes/systemml-release-notes-1.0.0.html?rev=1818973&view=auto
==============================================================================
--- systemml/site/release-notes/systemml-release-notes-1.0.0.html (added)
+++ systemml/site/release-notes/systemml-release-notes-1.0.0.html Thu Dec 21 
19:55:01 2017
@@ -0,0 +1,293 @@
+<!--
+
+-->
+<!--
+
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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 1.0.0 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 1.0.0 Release Notes" />
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optimal workplace for Machine Learning using big data" />
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+ <!-- GLOBAL HEADER -->
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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">&trade;</sup> 1.0.0 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 1.0.0 release was approved on December 12, 2017. 
The release includes enhancements, features, and additions as listed below.</p>
+
+      <h3 id="api-enhancements">API Enhancements</h3>
+      <ul>
+        <li>JMLC/MLContext parameter passing w/ and w/o meta data.</li>
+      </ul>
+
+      <h3 id="deep-learning">Deep Learning</h3>
+      <ul>
+        <li>Improved CPU convolution function performance, including 
sparsity.</li>
+        <li><code>Caffe2DML</code>.</li>
+        <li>Enhanced/additional NN layers, e.g. conv2d transpose and depthwise 
convolution</li>
+        <li>NN architecture summary table.</li>
+        <li>[Experimental] <code>Keras2DML</code>.</li>
+      </ul>
+
+      <h3 id="new-scripts--algorithms">New Scripts / Algorithms</h3>
+      <ul>
+        <li>Autoencoder.</li>
+        <li>Enhanced PCA.</li>
+      </ul>
+
+      <h3 id="features--new-functions">Features &amp; new Functions</h3>
+      <ul>
+        <li><code>sinh</code>, <code>cosh</code>, and <code>tanh</code>.</li>
+        <li><code>transformcolmap</code>.</li>
+        <li>n-ary <code>rbind</code>/<code>cbind</code>.</li>
+        <li><code>order</code> with multiple order-by columns.</li>
+      </ul>
+
+      <h3 id="compiler">Compiler</h3>
+      <ul>
+        <li>Improved rewrites, e.g. merging of statement block sequences.</li>
+        <li>IPA effectiveness.</li>
+        <li>Automatic vectorization of indexing pairs.</li>
+        <li>Instruction generation for memory efficiency.</li>
+        <li>Instruction code organization.</li>
+        <li>[Experimental] Code generation, code gen optimizer, and 
multi-threaded codegen operators.</li>
+      </ul>
+
+      <h3 id="robustness--performance">Robustness &amp; Performance</h3>
+      <ul>
+        <li>ParFor/HOP Memory budgets for Spark cluster configurations.</li>
+        <li>JMLC prepared scripts (thread affinity for outputs and configs, 
script cloning, configuration management).</li>
+        <li>Sparse-dense binary cell wise operations.</li>
+      </ul>
+
+      <h3 id="experimental-gpu">[Experimental] GPU</h3>
+      <ul>
+        <li>GPU conv2d and memory estimates.</li>
+        <li>Additional kernels,e.g. right indexing.</li>
+        <li>Single precision backend.</li>
+      </ul>
+
+      <h3 id="additional-packages">Additional Packages</h3>
+      <ul>
+        <li>SystemML Lite artifact, a minimumm-size uber JAR for embeddability 
(w/o Hadoop or Spark dependencies).</li>
+      </ul>
+
+      <h3 id="environment">Environment</h3>
+      <ul>
+        <li>Compression on by default.</li>
+        <li>Exploitation of native BLAS libraries.</li>
+        <li>JDK 8 (dropped JDK 7).</li>
+        <li>jCUDA for Windows &amp; Linux (x86_64, ppc64le) included.</li>
+        <li>Fine-grained runtime statistics.</li>
+        <li>Refactored configurations parameters to have sysml prefix</li>
+        <li>Performance test suite.</li>
+      </ul>
+
+      <h3 id="other">Other</h3>
+      <ul>
+        <li>Refreshed/new examples and notebooks (DML examples), tutorial.</li>
+      </ul>
+
+      <h3 
id="jira-release-noteshttpsissuesapacheorgjirasecurereleasenotejspaprojectid12319522version12338328"><a
 
href="https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12319522&amp;version=12338328";>JIRA
 release notes</a></h3>
+      <ul>
+        <li>Features, Improvements, Bug fixes, etc.</li>
+      </ul>
+    </div></div></section>
+
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