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			<h3> Introduction </h3>
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		       	SJTU-Spark is a distributed computing platform sponsored by the Center of
			<a href="http://iiot.sjtu.edu.cn" target="_blank">Intelligent Internet of Things</a>.
			Our team aims to realize massive-data related algorithms on Apache Spark, a state-of-the-art
		       computing framework. Most of our effors are devoted to the high performance backend of
	               the academic map system --- 	       
			<a href="http://acemap.sjtu.edu.cn" target="_blank">SJTU-Acemap</a>.
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			<h5>Latest News</h5>
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				<li>Update data storage system and webpage
				<span class="small">(Dec, 2015)</span></li>

				<li>First outcome of Distributed Network Community Detection
				<span class="small">(Oct., 2015)</span></li>

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			<!--<p class="small" style="text-align: right;"><a href="/news/index.html">Archive</a></p> -->
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				<h2>Ease of Use</h2>

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				Write applications quickly in Java, Scala or Python.
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				<p>
				Spark offers over 80 high-level operators that make it easy to build parallel apps.
				And you can use it <em>interactively</em>
				from the Scala and Python shells.
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