Author: reinwald
Date: Thu Mar 29 23:30:41 2018
New Revision: 1828041
URL: http://svn.apache.org/viewvc?rev=1828041&view=rev
Log:
add file 1.1.0 release notes
Added:
systemml/site/release-notes/systemml-release-notes-1.1.0.html
Added: systemml/site/release-notes/systemml-release-notes-1.1.0.html
URL:
http://svn.apache.org/viewvc/systemml/site/release-notes/systemml-release-notes-1.1.0.html?rev=1828041&view=auto
==============================================================================
--- systemml/site/release-notes/systemml-release-notes-1.1.0.html (added)
+++ systemml/site/release-notes/systemml-release-notes-1.1.0.html Thu Mar 29
23:30:41 2018
@@ -0,0 +1,269 @@
+<!--
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+ <title>SystemML 1.1.0 Release Notes</title>
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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> 1.1.0 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 1.1.0 release was approved on March 28, 2018. The
release includes enhancements, features, and additions as listed below.</p>
+
+ <h3 id="new-builtin-functionsoperations">New Builtin
Functions/Operations</h3>
+ <ul>
+ <li><code>ifelse</code></li>
+ <li><code>assert</code></li>
+ <li>Deep learning builtin functions: <code>avg_pool</code>,
<code>avg_pool_backward</code></li>
+ <li>Second-order <code>eval</code></li>
+ <li>Accumulator operator +=</li>
+ <li>Bitwise operators not, and, or, xor, & LShift, Rshift</li>
+ <li>Logical operator support over matrices AND/OR/NOT/XOR</li>
+ </ul>
+
+ <h3 id="additional-layers-in-the-nn-library">Additional Layers in the NN
library</h3>
+ <ul>
+ <li>Average pooling</li>
+ <li>Upsampling</li>
+ <li>Low-rank fully connected</li>
+ </ul>
+
+ <h3 id="new-capabilitiesfeatures">New Capabilities/Features</h3>
+ <ul>
+ <li>Dense matrix blocks >16GB, and operations</li>
+ <li>Enable additional ParFor result aggregation operations</li>
+ <li>UDFs callable in expressions</li>
+ <li>Zero rows/columns matrices and updated operations such as
removeEmpty</li>
+ <li>Matrix-matrix multiplication over compressed matrices</li>
+ <li>Extended Caffe2DML and Keras2DML APIs</li>
+ </ul>
+
+ <h3 id="compiler--runtime">Compiler & Runtime</h3>
+ <ul>
+ <li>Use common thread pool</li>
+ <li>Single-precision support for native conv2d and mm operations</li>
+ <li>Improved nnz maintenance, runtime propogation and memory
management</li>
+ <li>Robustness for matrices with larger than int dimensions</li>
+ <li>[Experimental] Codegen extensions: operation support, extended
optimizer, see SYSTEMML-2065</li>
+ </ul>
+
+ <h3 id="performance-improvements">Performance Improvements</h3>
+ <ul>
+ <li>sparse left indexing, sparse reshape, ultra-sparse transpose,
ultra-sparse rand, binary in-place operations, sparse relu backward,
maxpooling, sparse im2col, ultra-sparse conv2d, read of short-wide sparse
matrices, avoid unnecessary evictions, lock-free statistics maintenance, spark
cpmm, spark aggregates, spark reshape, spark binary ops, etc.</li>
+ </ul>
+
+ <h3 id="bug-fixes">Bug Fixes</h3>
+ <ul>
+ <li>in APIs, performance, optimizer, runtime, GPU backend, Spark
backend</li>
+ </ul>
+
+ <h3 id="deprecate">Deprecate</h3>
+ <ul>
+ <li>Support for Spark 2.1 / 2.2 (make switch to newer ANTLR
version)</li>
+ </ul>
+
+ <h3
id="jira-release-noteshttpsissuesapacheorgjirasecurereleasenotejspaprojectid12319522version12342282"><a
href="https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12319522&version=12342282";>JIRA
release notes</a></h3>
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