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Intel Continues HPC Leadership at SC18

In this video from SC18 in Dallas, Trish Damkroger describes how Intel is pushing the limits of HPC and Machine Learning with a full suite of Hardware, Software, and Cloud technologies.

Today’s high performance computers are unleashing discovery and insights at an unprecedented pace. The intersection of artificial intelligence and HPC has the potential to transform industries from life sciences to manufacturing, while solving some of the toughest challenges in our world. At SC18, HPC users got to experience how Intel’s holistic portfolio of products is transforming HPC from traditional modeling and simulation to visualization, analytics, and artificial intelligence.

Trish Damkroger is Vice President and General Manager of the Technical Computing Initiative (TCI) in Intel’s Data Center Group. She leads Intel’s global Technical Computing business and is responsible for developing and executing Intel’s strategy, building customer relationships and defining a leading product portfolio for Technical Computing workloads, including emerging areas such as high performance analytics and artificial intelligence. This includes traditional HPC, workstations, processors and co-processors, and includes all aspects of solutions including industry leading compute, storage, network and software products. Ms. Damkroger has more than 27 years of technical and managerial roles both in the private sector and within the United States Department of Energy, most recently as the Associate Director of Computation (Acting) at Lawrence Livermore National Laboratory leading a 1,000 person group that is one of the world’s leading supercomputing and scientific experts. Since 2006, Ms. Damkroger has been a leader of the annual Supercomputing Conference series, the premier international meeting for high performance computing. She was the SC14 General Chair in New Orleans and has held many other committee positions. She was named one of HPCwire’s People to Watch in 2014. Ms. Damkroger has a master’s degree in electrical engineering from Stanford University.

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