<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><div><br class="webkit-block-placeholder"></div><div>Title: Towards High-Productivity Environments for Development of Scalable Scientific Software</div><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"><o:p></o:p></p><span>Short Bio:<span> </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><p class="MsoNormal">---------------------------------------------------------</p><p class="MsoNormal">Host:<span class="Apple-tab-span" style="white-space: pre; "> </span>Ridg Scott</p></body></html>