Earlier this month, I traveled to Bari, Italy, to deliver a pair of presentations, including the keynote address, at Progetto “RIESCO” Challenge GPU4EO 2015. The event showcased solutions to improve the performance of software used to process remotely sensed data through the use of GPUs (graphics processing units). In this article, I summarize my talk, “GPU applications for scientific computation, training and visualization.” I focus on several examples of how we’ve leveraged GPU computing in the Interface Laboratory at the Ohio Supercomputer Center (OSC).
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The Ohio Technology Consortium (OH-TECH) delivers world-class technologies, information and expertise to benefit academic, government and industrial researchers and boost Ohio's economy. OH-TECH is comprised of three member organizations: the Ohio Supercomputer Center (OSC), the Ohio Academic Resources Network (OARnet) and the Ohio Library and Information Network (OhioLINK). We hope to become your resource for news and information on supercomputing, networking and library trends.
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The views expressed on this web page are those of the authors and do not necessarily represent the positions of, and should not be attributed without confirmation to, the Ohio Technology Consortium, any OH-TECH member organization, or The Ohio State University.
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