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High-Performance Computing: Where

By definition, the raison d’être for high-performance computing is high performance, but floating point operations per second (FLOPS) need not be the only measure. Human productivity, total cost and time to solution are equally, if not more important.
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When Petascale Is Just Too Slow

Evolution or revolution, it’s the persistent question. Can we build reliable esascale systems from extrapolations of current technology or will new approaches be required? There is no definitive answer, as almost any approach might be made to work at some level with enough heroic effort. The bigger question is what design would enable the most breakthrough scientific research in a reliable and cost effective way?
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Connecting the Two Ends: Mobile Clouds

  In 1959, the colorful and brilliant physicist, Richard Feynman, gave a seminal lecture to the American Physical Society entitled, "There's Plenty of Room at the Bottom," in which he considered the implications of matter manipulation at the atomic scale – a vision of then future nanotechnology. In computing, we also have plenty of room at the bottom, paradoxically enabled by plenty of room at the top. I speak, of course, of the transformative power of our now ubiquitous mobile devices and rich sensor/actuator networks (smart dust) coupled with the capabilities of immense cloud data centers. These two extremes of the modern computing scale are reshaping our society in deep and profound ways.

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