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<p align="center" style="margin:0in;margin-bottom:.0001pt;text-align:center"><a name="OLE_LINK6"></a><a name="OLE_LINK5"></a><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Call for Papers<o:p></o:p></span></b></p>
<p align="center" style="margin:0in;margin-bottom:.0001pt;text-align:center"><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></b></p>
<p style="margin:0in;margin-bottom:.0001pt"><a name="OLE_LINK4"></a><a name="OLE_LINK3"></a><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH)
</span></b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">in conjunction with 2015 IEEE conference on Big Data, Oct. 29-Nov.1 Santa Clara, CA USA<o:p></o:p></span></i></p>
<p style="margin:0in;margin-bottom:.0001pt"><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></i></p>
<p style="margin:0in;margin-bottom:.0001pt"><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Extended Deadline: Sep. 7, 2015</span></b><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><o:p></o:p></span></b></p>
<p style="margin:0in;margin-bottom:.0001pt;text-indent:.75in"><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></b></p>
<p style="margin:0in;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph;text-indent:22.3pt">
<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">The workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery aims to bridge the latest technology development in hardware and software with end users of big data.
The workshop will discuss issues that concern domain researchers about the latest software and hardware technologies, such as performance evaluation, optimizations, accessibility and usability of new technologies. We would like to invite cyber-infrastructure
specialists and computer scientists to share their experiences with latest hardware and software advancements as well as data scientists to share their experiences and perspectives in using those technologies for data driven scientific investigations.<o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph;text-indent:22.3pt">
<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph;text-indent:22.3pt">
<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Fueled by the big data analytics needs, new computing and storage technologies are developing rapidly and pushing for new high-end hardware geared toward big data problems. While those
technologies have the potential to greatly improve effectiveness of big data analytics, the cost and sophistications of those technologies and limited initial application supports often make them inaccessible to the end users and not fully utilized in academia
years later. Meanwhile, comprehensive analytic software <a name="OLE_LINK2"></a><a name="OLE_LINK1"></a>environment and platforms, such as R and Python, have become increasingly popular open-source platforms for data analysis. Those software environment and
platforms not only provide a collection of analytic methods but also have the potential to utilize new hardware transparently and ease the efforts required from end users. However, most data scientists have only had experiences with small to medium-sized data;
and now the size of Big Data poses its own challenges. </span><span style="font-size:11.0pt;font-family:"Arial",sans-serif">It is therefore a critical issue to make the latest technology advancements in software and hardware accessible and usable to the domain
scientists in a timely manner, especially <span style="color:black">those in fields traditionally not strong in computation and programming.</span>
<o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph;text-indent:22.3pt">
<span style="font-size:11.0pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph;text-indent:22.3pt">
<span style="font-size:11.0pt;font-family:"Arial",sans-serif">All submissions will be reviewed by at least two reviewers. Accepted papers will be included in the conference proceedings published by IEEE. Authors of selected papers will have the opportunities
to be invited to extend the workshop version of the presentations to other journals.
<o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph;text-indent:22.3pt">
<span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph;text-indent:22.3pt">
<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">The topics of the workshop are centered on the accessibility and applicability of the latest hardware and software to practical domain problems.
</span><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222">Topics of interest include, but are not limited to:</span><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoListParagraph" style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:6.0pt;margin-left:.25in;mso-add-space:auto;text-indent:-.25in;mso-list:l0 level1 lfo1">
<![if !supportLists]><span style="font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-family:"Arial",sans-serif;color:#222222">Adopting hardware technology, such as GPGPU, Xeon Phi, etc., for Big Data analytics</span><span style="font-family:"Arial",sans-serif;color:black"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:24.0pt;margin-bottom:6.0pt;margin-left:.25in;text-align:justify;text-justify:inter-ideograph;text-indent:-.25in;mso-list:l0 level1 lfo1;vertical-align:baseline">
<![if !supportLists]><span style="font-size:11.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222">Application and use cases in using cyber-infrastructure for Big Data in sciences and engineering</span><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:24.0pt;margin-bottom:6.0pt;margin-left:.25in;text-align:justify;text-justify:inter-ideograph;text-indent:-.25in;mso-list:l0 level1 lfo1;vertical-align:baseline">
<![if !supportLists]><span style="font-size:11.0pt;font-family:Symbol;color:#222222"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222">Big data and interactive analysis languages (e.g., R, Python, and Matlab)<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:24.0pt;margin-bottom:6.0pt;margin-left:.25in;text-align:justify;text-justify:inter-ideograph;text-indent:-.25in;mso-list:l0 level1 lfo1;vertical-align:baseline">
<![if !supportLists]><span style="font-size:11.0pt;font-family:Symbol;color:#222222"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222">New advances in hardware technology
<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:24.0pt;margin-bottom:6.0pt;margin-left:.25in;text-align:justify;text-justify:inter-ideograph;text-indent:-.25in;mso-list:l0 level1 lfo1;vertical-align:baseline">
<![if !supportLists]><span style="font-size:11.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222">Novel software platforms and models for big data collection management and analysis
</span><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:24.0pt;margin-bottom:6.0pt;margin-left:.25in;text-align:justify;text-justify:inter-ideograph;text-indent:-.25in;mso-list:l0 level1 lfo1;vertical-align:baseline">
<![if !supportLists]><span style="font-size:11.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222">Performance tuning with new hardware infrastructure and software platform
</span><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:24.0pt;margin-bottom:6.0pt;margin-left:.25in;text-align:justify;text-justify:inter-ideograph;text-indent:-.25in;mso-list:l0 level1 lfo1;vertical-align:baseline">
<![if !supportLists]><span style="font-size:11.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222">Search and data retrieval on large-scale data set
</span><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:24.0pt;margin-bottom:6.0pt;margin-left:.25in;text-align:justify;text-justify:inter-ideograph;text-indent:-.25in;mso-list:l0 level1 lfo1;vertical-align:baseline">
<![if !supportLists]><span style="font-size:11.0pt;font-family:Symbol;color:#222222"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222">Service oriented architectures to enable data science
<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:24.0pt;margin-bottom:6.0pt;margin-left:.25in;text-align:justify;text-justify:inter-ideograph;text-indent:-.25in;mso-list:l0 level1 lfo1;vertical-align:baseline">
<![if !supportLists]><span style="font-size:11.0pt;font-family:Symbol;color:#222222"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222">Software and platform for big data analysis and visualization<o:p></o:p></span></p>
<p style="mso-margin-top-alt:6.0pt;margin-right:23.75pt;margin-bottom:12.0pt;margin-left:0in;vertical-align:baseline">
<b><span style="font-size:11.0pt;font-family:"Verdana",sans-serif;color:black;background:white">Important dates</span></b><span style="font-size:11.0pt;font-family:"Verdana",sans-serif;color:black;background:white">:</span><span style="font-size:11.0pt;font-family:"Verdana",sans-serif;color:black"><br>
<b><span style="background:white">Sep. 7, 2015:</span></b><span style="background:white"> Extended deadline for papers submission</span><br>
<b><span style="background:white">Sep. 20, 2015:</span></b><span style="background:white"> Notification of paper acceptance to authors<span class="apple-converted-space"> </span></span><br>
<b><span style="background:white">Oct. 5, 2015:</span></b><span style="background:white"> Camera-ready of accepted papers<span class="apple-converted-space"> </span></span><br>
<b><span style="background:white">Oct. 29-Nov. 1 2014:</span></b><span style="background:white"> Workshops<span class="apple-converted-space"> </span><strong><span style="font-family:"Verdana",sans-serif">
</span></strong></span></span><strong><span style="font-family:"Verdana",sans-serif;color:black;background:white;font-weight:normal"><o:p></o:p></span></strong></p>
<p style="mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph">
<strong><span style="font-size:11.0pt;font-family:"Verdana",sans-serif;color:black;background:white">For more information and submission instructions please visit
<o:p></o:p></span></strong></p>
<p style="margin:0in;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph">
<a href="https://www.tacc.utexas.edu/-/2nd-workshop-on-advances-in-software-and-hardware-for-big-data-to-knowledge-discovery-ash-"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">https://www.tacc.utexas.edu/-/2nd-workshop-on-advances-in-software-and-hardware-for-big-data-to-knowledge-discovery-ash-</span></a><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph">
<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></p>
<p style="mso-margin-top-alt:6.0pt;margin-right:23.75pt;margin-bottom:12.0pt;margin-left:0in;vertical-align:baseline">
<span style="font-size:11.0pt;font-family:"Verdana",sans-serif;color:black;background:white">Best regards, <o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph">
<span style="font-family:"Arial",sans-serif">Weijia Xu, Hui Zhang, and Hongfeng Yu<o:p></o:p></span></p>
<p class="MsoPlainText"><o:p> </o:p></p>
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