High Performance Data Analysis (HPDA): HPC – Big Data Convergence

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In this video from the HPC User Forum in Santa Fe, Steve Conway from Hyperion Research presents: High Performance Data Analysis (HPDA): HPC – Big Data Convergence.

“To date, most data-intensive HPC jobs in the government, academic and industrial sectors have involved the modeling and simulation of complex physical and quasi-physical systems. The systems range from product designs for cars, planes, golf clubs and pharmaceuticals, to subatomic particles, global weather and climate patterns, and the cosmos itself. But from the start of the supercomputer era in the 1960s — and even earlier —an important subset of HPC jobs has involved analytics — attempts to uncover useful information and patterns in the data itself. Cryptography, one of the original scientific-technical computing applications, falls predominantly into this category.”

Steve Conway is Hyperior Research vice president for high performance computing and data analysis. He produces opinion pieces, studies and reports on the worldwide HPC (supercomputing) market and leads IDC’s research in high performance data analysis (big data using HPC). Steve works closely with government agencies, industry and academia, and the vendor community in North America, Europe and Asia. He is a frequent conference speaker and contributor to national business and trade media. Before joining IDC, he was vice president of corporate communications and investor relations for Cray and had management roles at SGI and CompuServe. Earlier, Steve had a 12-year career in university teaching and administration at Boston University and Harvard University. A former National Merit Scholar and Senior Fulbright Fellow, he holds bachelor’s and master’s degrees in German from Columbia University and a master’s in comparative literature from Brandeis University, where he also completed doctoral coursework and exams.

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