dmacssite.github.com/index.html at master · parallelcomp/dmacssite.github.com · GitHub

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<h1 align="center">High Performance Computing with Accelerators </h1>
<h5 align="center">Summer 2012</h5>
<h4 align="center">Department of Mathematics and Computer Science</h4>
<h4 align="center">Sri Sathya Sai Institute of Higher Learning, Prashanthi Nilayam, Puttaparthi</h4>
 <p align="center"> <img align = "center" src="images/swami.jpg" height = "200" width = "150" alt="Student Projects"><br> </p>

         <p align="center"> <a  href="http://www.sssihl.edu.in">SSSIHL Website</a> </p>
         <p align="center">
            <a href="index.html">Home</a> |
            <a href="schedule.html" target = "_blank">Schedule</a> |
            <a href="http://piazza.com/class#summer2012/cs1302" target = "_blank">Piazza</a> |
            <a href="https://docs.google.com/document/d/1TyRwlYgvQAw7aUfDFDdqug6vFwJ6uv_SXZtshsyo8D0/edit" target = "_blank">Student Work</a> </p>

<h2>Description</h2>
<p>
This course examines an important trend in high-performance computing, the use of special-purpose hardware originally designed for graphics and games to solve general-purpose computing problems. Such graphics processing units (GPUs) have enormous peak performance for arithmetically-intensive computations, and at relatively low cost as compared to their general-purpose counterparts with similar performance levels. Technology trends are driving all microprocessors towards multiple core designs, and therefore, techniques for parallel programming represent a rich area of recent study. Students in the course will learn how to develop scalable parallel programs targeting the unique requirements for obtaining high performance on GPUs and multi-cores. We will compare and contrast parallel programming for GPUs and conventional multi-core microprocessors. </p>

<p></p>The course will largely consist of small individual programming assignments, and a larger term project to be presented to the class.
</p>

<h2>Prerequisites</h2>
<ul>
      <li>
<a href="http://192.168.11.53/eguru/course/view.php?id=227">Programming for Performance </a></li>
        <li>
<a href="http://192.168.11.53/eguru/course/view.php?id=170">MATH 704 </a>: Introduction to Computer Architecture.</li>
<li>Strong C Skills</li>
</ul><h2>Instructor</h2>
<p>

<a href="http://ajithpadyana.github.com/Welcome/"> Sudheer Kumar </a>, cdsudheerkumar@sssihl.edu.in <br>
Office: AI Lab<br>
<p>
<a href="http://ajithpadyana.github.com"> Ajith Padyana </a>, ajithpadyana@sssihl.edu.in <br>
Office: AI Lab<br>
Office Hours: Monday - Friday, 3:00-4:00 pm <br></p>


<h2>Meeting</h2>
Tuesday, Wednesday and Saturday 9:00 - 10:30 am, AI Lab or Room No: 105 or 212 <br></p>

<h2>Online</h2>

<ul>
<li>Google Group: <a href="http://groups.google.com/group/techsuns">techsuns</a>, techsuns@googlegroups.com<br>
</li>
<li>GitHub Organization: <a href="https://github.com/dmacssite/dmacs.github.com">dmacssite</a>
</li>
</ul><h2>Books</h2>

<ul>
<li>
        <a href="http://www.elsevierdirect.com/morgan_kaufmann/kirk/">Programming Massively Parallel Processors</a>, 2010, David Kirk and Wen-mei Hwu.
        Old draft pdfs are on the <a href="http://courses.engr.illinois.edu/ece498/al/Syllabus.html">website</a> for ECE 498 AL at UIUC.
    </li>

</ul><h2>Grading</h2>

<ul>
<li>Homeworks: 30%</li>
    <li>Student Presentation: 20%</li>
    <li>Final Project: 40%</li>
    <li>Final: 10%</li>


</ul>

<h2>Lab Resources</h2>
<ul>
<li><a href="http://www.nvidia.in/object/product-tesla-S2050-in.html">Access to nVIDIA S2050 blade provided by nVIDIA under the aegis of nVIDIA Professor Partnership program</a></li>
<li><a href="http://www.gputechconf.com/gtcnew/on-demand-gtc.php">Materials from GTC</a></li>
<li><a href="https://www.xsede.org/">XSEDE</a>
    <ol>
        <li><a href="http://www.ncsa.illinois.edu/UserInfo/Resources/">Forge Supercomputing system</a></li>
        <li><a href="http://www.sdsc.edu/supercomputing/gordon/">Gordon Supercomputing system</a></li>
        <li><a href="http://www.sdsc.edu/us/resources/trestles/trestles_storage.html">Trestles Supercomputing system</a></li>
    </ol>
</li>
</ul>

<p></p><h2> Important Conferences in HPC</h2>

<ul>
<li> <a href="http://sc12.supercomputing.org/">SuperComputing Conference (SC)</a>
</li>
    <li> <a href="http://www.ipdps.org/">International Parallel and Distributed Processing Symposium (IPDPS)</a>
</li>
    <li> <a href="http://www.hipc.org">High Performance Computing Conference (HiPC)</a></li>

    <li> <a href="http://www.gputechconf.com/page/home.html">GTC Conference</a></li>


</ul>

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