<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">DEPARTMENT OF COMPUTER SCIENCE<div><br class="webkit-block-placeholder"></div><div>UNIVERSITY OF CHICAGO</div><div><br class="webkit-block-placeholder"></div><div>Date: Wednesday, June 4, 2008</div><div>Time: 2:30 p.m.</div><div>Place: Ryerson 251, 1100 E. 58th Street</div><div><br class="webkit-block-placeholder"></div><div>----------------------------------------------------------</div><div><br class="webkit-block-placeholder"></div><div>Speaker:<span class="Apple-tab-span" style="white-space: pre; "> </span>P. (Saday) Sadayappan</div><div><br class="webkit-block-placeholder"></div><div>From:<span class="Apple-tab-span" style="white-space: pre; "> </span>Ohio State University</div><div><br class="webkit-block-placeholder"></div><div>Web page:<span class="Apple-tab-span" style="white-space:pre"> </span><span class="Apple-style-span" style="color: rgb(0, 0, 255); "><a href="http://www.cse.ohio-state.edu/~saday/">http://www.cse.ohio-state.edu/~saday/</a></span></div><!--StartFragment-->
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<div><br class="webkit-block-placeholder"></div><div>Title: Towards
High-Productivity Environments for Development of Scalable Scientific Software</div><!--StartFragment--><div><br class="webkit-block-placeholder"></div><div>Abstract: The phenomenal power of massively parallel supercomputers
can facilitate significant advances in many areas of science and engineering.
However, the effort required to develop high-performance applications using
currently available parallel programming models is extremely high, and is often
a limiting factor in the rate of scientific process. As supercomputers get more
powerful, they are becoming even more complex to program for effective
utilization of their potential performance. There is therefore considerable
interest in developing high-level frameworks that ease the burden of
development of high-performance scientific software. This talk will discuss
some of the approaches being pursued towards this goal, the challenges, and
potential future directions. </div><p class="MsoNormal" style="mso-pagination:none;mso-layout-grid-align:none;
text-autospace:none"><o:p></o:p></p>
<span style="">Short Bio:<span style="mso-spacerun:
yes"> </span>P. (Saday) Sadayappan is a Professor of Computer Science and
Engineering at the Ohio State University. His research centers around
programming models, compilers and runtime systems for parallel computing, with
special emphasis on high-performance scientific computing.</span><!--EndFragment-->
<p class="MsoNormal">---------------------------------------------------------</p><p class="MsoNormal">Host:<span class="Apple-tab-span" style="white-space: pre; "> </span>Ridg Scott</p></body></html>