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updated apps
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css/tf.css

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@@ -19,6 +19,10 @@ body {
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color:#fff;
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}
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.jumbotron-features {
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background: #bef1d8; /* old browsers fallback color*/
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}
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.jumbotron-sponsors {
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background: #eff7fa; /* old browsers fallback color*/
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}

images/cad.jpg

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images/machine-learning.jpg

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index.html

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<li class="nav-item">
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<a class="nav-link" href="#tag_features">Features</a>
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</li>
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<li class="nav-item">
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<a class="nav-link" href="#tag_applications">Applications</a>
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</li>
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<li class="nav-item">
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<a class="nav-link" href="#tag_community">Community</a>
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</li>
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<br>
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<p align="center"><a class="btn btn-secondary" href="#" role="button">View All News &raquo;</a></p>
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<br>
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<hr>
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</div> <!-- News -->
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<div class="jumbotron jumbotron-fluid">
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<div class="container" id="tag_features">
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<div class="page-header text-center"><h1><i class="fas fa-tools"></i> Features</h1></div>
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<div class="page-header text-center"><h1><i class="fas fa-check-circle"></i> Features</h1></div>
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<hr>
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<div class="card-deck">
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</div>
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</div>
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</div>
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<br>
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</div>
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</div>
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<!-- features -->
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<div class="container" id="tag_applications">
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<div class="page-header text-center"><h1><i class="fas fa-tools"></i> Applications</h1></div>
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<hr>
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<div class="card mb-3">
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<a href="https://taskflow.github.io/taskflow/opentimer.html"><img class="card-img-top" src="images/cad.jpg" alt="Card image cap"></a>
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<div class="card-body">
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<h5 class="card-title">Parallelizing Computer-aided Design (CAD) Software</h5>
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<p class="card-text">We have successfully applied Taskflow to assist developers in the implementation and deployment of parallel CAD algorithms and software that scale to millions of tasks on manycore CPUs and GPUs.</p>
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</div>
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</div>
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<div class="card mb-3">
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<a href="https://github.com/dian-lun-lin/SNIG"><img class="card-img-top" src="images/machine-learning.jpg" alt="Card image cap"></a>
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<div class="card-body">
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<h5 class="card-title">Computing Large-scale Machine Learning Workloads</h5>
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<p class="card-text">We have successfully applied Taskflow to design efficient model- and data-parallel algorithms for scaling up large-scale machine learning workloads that incorporate billions of parameters.</p>
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</div>
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</div>
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</div> <!-- Applications -->
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<div class="jumbotron jumbotron-fluid">
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<div class="container" id="tag_community">
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<p>&copy; <a href="https://tsung-wei-huang.github.io/">Dr. Tsung-Wei Huang</a>, University of Utah 2019-2020</p>
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</footer>
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<!-- Bootstrap core JavaScript
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================================================== -->
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<!-- Placed at the end of the document so the pages load faster -->
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</body>
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</html>
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