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  <div class="vevent h-event"> <h1 class="summary p-name">Braided Parallelism - A Programmers Perspective Benedict Gaster, Programming Models Architect, AMD</h1> <div class='date'><time class="dtstart dt-start" title="2011-10-26T13:00:00" datetime="2011-10-26T13:00:00">Wednesday, October 26, 2011 from 1</time>–<time class="dtend dt-end" title="2011-10-26T14:00:00" datetime="2011-10-26T14:00:00">2pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202391953'><span class='fn org p-name'>Portland State University FAB, Room 86-09</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">1900 SW Fourth Avenue</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">Oregon</span> <span class="postal-code p-postal-code">97201</span> <div class="country-name p-country-name">US</div> (<a href='https://maps.google.com/maps?q=1900%20SW%20Fourth%20Avenue,%20Portland%20Oregon%2097201%20US'>map</a>) </div> </div> <div class="description p-description"> <p>GPU architectures are often described in confusing and overly optimistic terms. The AMD Fusion APU architecture provides improvements in communication latency and bandwidth between devices, so the problem of choosing the right core on which to execute code becomes both more acute and more flexible as communication between tasks becomes easier. But as the CPU and GPU become ever closer, how does one program these machines? This talk takes a look at these emerging architectures; touches on the current parallel programming models for CPUs and GPGPUs; and follows this with a perspective on what future programming models for heterogeneous architectures will look like.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="http://www.cs.pdx.edu">Website</a></li> </ul> </div>