Adding research page to SystemDS website

_src/research.html

@@ -0,0 +1,151 @@
+---
+layout: page
+title: Research
+description: Apache SystemML Research
+group: nav-right
+---
+<!--
+{% comment %}
+Licensed to the Apache Software Foundation (ASF) under one or more
+contributor license agreements.  See the NOTICE file distributed with
+this work for additional information regarding copyright ownership.
+The ASF licenses this file to you under the Apache License, Version 2.0
+(the "License"); you may not use this file except in compliance with
+the License.  You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+{% endcomment %}
+-->
+
+
+
+<section class="full-stripe full-stripe--subpage-header clear-header">
+  <div class="ml-container ml-container--horizontally-center">
+    <div class="col col-12 content-group content-group--center-content content-group--center-align">
+      <h1>{{ site.data.project.name }} Research</h1>
+    </div>
+  </div>
+</section>
+
+ <div class="col col-12  content-group--medium-bottom-margin"> 
+
+ <div class="">
+
+      <ul>
+
+      <li>
+        <h2>2018</h2>
+      <a href="https://researcher.watson.ibm.com/researcher/files/ibm-Matthias.Boehm1/VLDBJ2017_cla.pdf"><p>
+        Compressed Linear Algebra for Large-Scale Machine Learning
+        Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
+        VLDB Journal, 2018
+      </p></a>
+
+      <a href="https://arxiv.org/pdf/1801.00829.pdf"><p>
+        On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML
+        Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Alexandre V. Evfimievski, Prithviraj Sen
+        CoRR,abs/1801.00829, 2018
+      </p></a>
+      </li>
+
+
+      <li>
+        <h2>2017</h2>
+      <a href="https://researcher.watson.ibm.com/researcher/files/ibm-Matthias.Boehm1/SIGMODRec2017.pdf"><p>
+        Scaling Machine Learning via Compressed Linear Algebra Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
+        SIGMOD Record 46(1), 2017
+      </p></a>
+      <a href="https://researcher.watson.ibm.com/researcher/files/ibm-Matthias.Boehm1/CIDR2017_spoof.pdf"> <p>   SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning
+      Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen:
+      CIDR, 2017
+     </p> </a>
+      </li>
+
+
+
+
+      <li>
+        <h2>2016</h2>
+           <p>Compressed Linear Algebra for Large-Scale Machine Learning
+            Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
+            PVLDB 9(12), 2016</p>
+          <p>Declarative Machine Learning - A Classification of Basic Properties and Types
+          Matthias Boehm, Alexandre V. Evfimievski, Niketan Pansare, Berthold Reinwald
+           CoRR,abs/1605.05826, 2016</p>
+          <p>SystemML: Declarative Machine Learning on Spark (Industrial)
+           Matthias Boehm, Michael W. Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Arvind C. Surve, Shirish Tatikonda
+            PVLDB 9(13), 2016</p>
+      </li>
+
+
+
+
+  <li>
+    <h2>2015</h2>
+    <p>On Optimizing Machine Learning Workloads via Kernel Fusion
+Arash Ashari, Shirish Tatikonda, Matthias Boehm, Berthold Reinwald, Keith Campbell, John Keenleyside, P. Sadayappan
+PPoPP, 2015</p>
+ <p>Costing Generated Runtime Execution Plans for Large-Scale Machine Learning Programs
+Matthias Boehm
+CoRR,abs/1503.06384, 2015</p>
+ <p>Resource Elasticity for Large-Scale Machine Learning
+Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss
+SIGMOD, 2015</p>
+
+  </li>
+
+
+
+     <li>
+      <h2>2014</h2>
+      <p>Large Scale Discriminative Metric Learning
+Peter D. Kirchner, Matthias Boehm, Berthold Reinwald, Daby M. Sow, Michael Schmidt, Deepak S. Turaga, Alain Biem
+ParLearning, 2014</p>
+   <p>Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML
+Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan
+PVLDB 7(7), 2014</p>
+   <p>SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs
+Matthias Boehm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
+IEEE Data Eng. Bull. 37(3), 2014</p>
+     </li>
+
+
+
+
+    <li>
+      <h2>2013</h2>
+      <p>Compiling Machine Learning Algorithms with SystemML (Poster)
+Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
+SOCC, 2013</p>
+    </li>
+
+
+
+
+      <li>
+        <h2>2012</h2>
+          <a href="https://www.computer.org/csdl/proceedings-article/icde/2012/4747b351/12OmNqBKU4n"><p>Scalable and Numerically Stable Descriptive Statistics in SystemML
+            Y. Tian, S. Tatikonda, B. Reinwald
+            Data Engineering (ICDE), 2012 IEEE 28th International Conference on, pp. 1351--1359</p></a>
+      </li>
+
+
+
+
+      <li>
+        <h2>2011</h2>
+             <a href="https://ieeexplore.ieee.org/document/5767930/;jsessionid=yihJbJrdaxGXajC6dxBCM6ZT0NCNj7J6q1fTt05Gs9J5dpWqer5c!-672959556"> <p>SystemML: Declarative machine learning on MapReduce
+              A. Ghoting, R. Krishnamurthy, E. Pednault, B. Reinwald, V. Sindhwani, S. Tatikonda, Y. Tian, S. Vaithyanathan
+              Data Engineering (ICDE), 2011 IEEE 27th International Conference on, pp. 231--242</p></a>
+      </li>
+
+  </ul>
+</div>
+</div><!-- col col-12  content-group--medium-bottom-margin --> -->
+

_src/roadmap.html

@@ -139,7 +139,7 @@ <h2>Prior Releases</h2>
 	    <li>Additional Layers in NN library: average pooling, upsampling, low-rank fully connected</li>
 	    <li>New Capabilities/Features such as dense matrix blocks >16GB, additional ParFor result aggregation operations, UDFs callable in expressions, zero rows/columns matrices, matrix-matrix multiplication over compressed matrices</li>
             <li>Extended Caffe2DML and Keras2DML APIs</li>
-            <li>Compiler & Runtime enhancements</>
+            <li>Compiler & Runtime enhancements</li>
             <li>Performance improvements</li>
           </ul>
         </li>

gulpfile.js

@@ -7,6 +7,7 @@ const gutil = require('gulp-util');
 const browserSync = require('browser-sync');
 const sourcemaps = require('gulp-sourcemaps');
 const jekyll = process.platform === 'win32' ? 'jekyll.bat':'jekyll';
+//const jekyll = process.platform === 'win64' ? 'jekyll.bat':'jekyll';
 
 // PATHS
 const config = {