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<!DOCTYPE html>
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<html class="no-js">
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<head>
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<meta name="description" content="">
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<title>Lucida</title>
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<a href="https://github.com/claritylab/lucida">
<img style="position: absolute; top: 0; right: 0; border: 0; z-index:
5000"
src="https://camo.githubusercontent.com/365986a132ccd6a44c23a9169022c0b5c890c387/68747470733a2f2f73332e616d617a6f6e6177732e636f6d2f6769746875622f726962626f6e732f666f726b6d655f72696768745f7265645f6161303030302e706e67"
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<h1><a class="navbar-brand" href="index.html" data-0="line-height:90px;" data-300="line-height:50px;">Lucida</a></h1>
</div>
<div class="navbar-collapse collapse">
<ul class="nav navbar-nav" data-0="margin-top:20px;" data-300="margin-top:5px;">
<li class="active"><a href="index.html">Home</a></li>
<li ><a href="https://github.com/claritylab/lucida">Get Lucida</a></li>
<!-- <li><a href="tutorial.html">Tutorial</a></li> -->
<li><a href="videos.html">Videos</a></li>
<li><a href="team.html">Team</a></li>
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<div class="col-md-8 col-md-offset-2">
<div class="align-center">
<img src="img/sirius-logo-white.png" alt="" width="128"/>
 
 
 
<img src="img/djinn-logo-white.png" alt="" width="85" />
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<h2 class="slogan">Lucida: Infrastructure for Emerging Intelligent Web Services</h2>
<p>
As Intelligent Personal Assistants (IPA) such as Apple Siri, Google
Now, Microsoft Cortana, and Amazon Echo continue to gain traction,
webservice companies are now providing image, speech, and natural
language processing web services as the core applications in their
datacenters. These emerging applications require machine learning
and are known to be significantly more compute intensive than
traditional cloud based web services, giving rise to a number of
questions surrounding the designs of server and datacenter
architectures for handling this volume of computation.
<br>
Lucida is the next generation of Sirius, the first open source
intelligent personal assistant that was developed by <a
href="http://clarity-lab.org/">Clarity Lab</a> at the
University of Michigan.
</p>
</div>
</div>
</div>
<div style="text-align:center">
<iframe width="640" height="360" src="https://www.youtube.com/embed/kqI8VQERnnE" frameborder="0" allowfullscreen></iframe>
</div>
</div>
</section>
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<section id="section-about" class="section appear pad-bot30 bg-white">
<div class="container">
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<div class="col-md-offset-3 col-md-6">
<div class="section-header">
<h2 class="section-heading animated" data-animation="bounceInUp">About Lucida</h2>
<p></p>
</div>
</div>
</div>
<div class="row">
<div class="col-md-8 col-md-offset-2">
<div class="align-center">
<p><a
href="https://github.com/claritylab/lucida">Lucida</a>
is a speech and vision based intelligent personal assistant developed in <a
href="http://clarity-lab.org/">Clarity Lab</a> at the University of
Michigan. It is a state-of-the-art infrastructures
to study emerging intelligent web services in large scale systems.
This website includes a <a href="tutorial.html">tutorial</a>
to help you familiarize with the algorithms,
implementations and characteristics of these workloads.
The first half of the tutorial covers the machine learning
and other algorithmic components underlying modern intelligent web
services. In the second half of the tutorial, we discuss the Sirius and
DjiNN benchmark suites: 13 web services that span image, speech, and
natural language processing applications. We discuss the design of these
applications as well as how they can be used to study the design of future
datacenter architectures.
</p>
</div>
<h4>Publications</h4>
<p>
<div id="paperkey_0" class="papercite_entry">[1] <a href="http://web.eecs.umich.edu/~jahausw/publications/hauswald15sirius.pdf" onclick="__gaTracker('send', 'event', 'download', 'http://web.eecs.umich.edu/~jahausw/publications/hauswald15sirius.pdf');" title='Download PDF' class='papercite_pdf'><img src='http://sirius.clarity-lab.org/wp-content/plugins/papercite/img/pdf.png' alt="[pdf]"/></a>Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Cheng Li, Austin Rovinski, Arjun Khurana, Ron Dreslinski, Trevor Mudge, Vinicius Petrucci, Lingjia Tang, and Jason Mars. "Sirius: An open end-to-end voice and vision personal assistant and its implications for future warehouse scale computers." <em>Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems. ACM, 2015.</em><br/>
<div id="paperkey_1" class="papercite_entry">[2] <a href="http://web.eecs.umich.edu/~jahausw/publications/hauswald15djinn.pdf" onclick="__gaTracker('send', 'event', 'download', 'http://web.eecs.umich.edu/~jahausw/publications/hauswald15djinn.pdf');" title='Download PDF' class='papercite_pdf'><img src='http://sirius.clarity-lab.org/wp-content/plugins/papercite/img/pdf.png' alt="[pdf]"/></a>Johann Hauswald, Yiping Kang, Michael A. Laurenzano, Quan Chen, Cheng Li, Trevor Mudge, Ronald G. Dreslinski, Jason Mars, and Lingjia Tang. "DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers." <em>Proceedings of the 42nd Annual International Symposium on Computer Architecture. ACM, 2015.</em><br/>
</p>
</div>
</div>
</div>
</section>
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