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<div class="vevent h-event"> <h1 class="summary p-name">PSU Tech Talk: Using Graphics Processors for everything but Graphics</h1> <div class='date'><time class="dtstart dt-start" title="2013-05-31T16:00:00" datetime="2013-05-31T16:00:00">Friday, May 31, 2013 from 4</time>–<time class="dtend dt-end" title="2013-05-31T17:00:00" datetime="2013-05-31T17:00:00">5pm</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>Back in 2001, researchers decided to try to use "the other" processor in their PC (the graphics card) for computation. These early, tedious efforts were promising and lead to a new type of computation called General Purpose GPU (GPGPU) Computing. NVIDIA vastly accelerated such efforts with the release of CUDA in 2007, that provided a much simpler interface to programmers wanting to use the GPU for general computation. Today, GPUs are being used to accelerate some of the most powerful supercomputers in the world (see top500.org). In this talk I'll describe the ideas behind this very different kind of computing, show some simple CUDA examples, and mention the open source alternative to CUDA (OpenCL). I'll give a bit more detail on our newly acquired NVIDIA K20, and briefly outline my GP-GPU Computing course for summer 2013.</p> <h2>About the speaker</h2> <p>Dr. Karavanic is an Associate Professor of Computer Science at Portland State, where she teaches courses in Operating Systems, performance measurement and modeling, and High Performance Computing. She was selected as an HPC Educator for the SC2012 Conference, where she offered a full-day tutorial on CUDA to faculty from around the U.S. Dr. Karavanic came to PSU in 2000 from Madison, Wisconsin, where she earned an M.S. and a Ph.D. in Computer Science.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="http://acm.pdx.edu/">Website</a></li> </ul> </div>

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Wednesday, May 29, 2013 at 8:06pm and last updated
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PSU Tech Talk: Using Graphics Processors for everything but Graphics

Friday, May 31, 2013 from 4–5pm

Portland State University FAB, Room 86-09

1900 SW Fourth Avenue

Portland, Oregon 97201, US (map)

Access Notes

Building is at 4th and College. Room 86-01 is in the basement, take the elevator or stairs down to basement and follow the signs.

Website

http://acm.pdx.edu/

Description

Back in 2001, researchers decided to try to use "the other" processor in their PC (the graphics card) for computation. These early, tedious efforts were promising and lead to a new type of computation called General Purpose GPU (GPGPU) Computing. NVIDIA vastly accelerated such efforts with the release of CUDA in 2007, that provided a much simpler interface to programmers wanting to use the GPU for general computation. Today, GPUs are being used to accelerate some of the most powerful supercomputers in the world (see top500.org). In this talk I'll describe the ideas behind this very different kind of computing, show some simple CUDA examples, and mention the open source alternative to CUDA (OpenCL). I'll give a bit more detail on our newly acquired NVIDIA K20, and briefly outline my GP-GPU Computing course for summer 2013.

About the speaker

Dr. Karavanic is an Associate Professor of Computer Science at Portland State, where she teaches courses in Operating Systems, performance measurement and modeling, and High Performance Computing. She was selected as an HPC Educator for the SC2012 Conference, where she offered a full-day tutorial on CUDA to faculty from around the U.S. Dr. Karavanic came to PSU in 2000 from Madison, Wisconsin, where she earned an M.S. and a Ph.D. in Computer Science.