Supercomputing, by definition, is an esoteric, exotic, and relatively small slice of the overall IT landscape, but it is, also by definition, a vital driver of innovation within IT and in all of the segments of the market where simulation, modeling, and now machine learning are used to provide goods and services. …
With the network comprising as much as a quarter of the cost of a high performance computing system and being absolutely central to the performance of applications running on parallel systems, it is fair to say that the choice of network is at least as important as the choice of compute engine and storage hierarchy. …
What goes around comes around. After fighting so hard to drive volume economics in the HPC arena with relatively inexpensive X86 clusters in the past twenty years, those economies of scale are running out of gas. …
The US Department of Energy – and the hardware vendors it partners with – are set to enliven the exascale effort with nearly a half billion dollars in research, development, and deployment investments. …
For a mature company that kickstarted supercomputing as we know it, Cray has done a rather impressive job of reinventing itself over the years. …
After years of planning and delays after a massive architectural change, the Blue Waters supercomputer at the National Center for Supercomputing Applications at the University of Illinois finally went into production in 2013, giving scientists, engineers and researchers across the country a powerful tool to run and solve the most complex and challenging applications in a broad range of scientific areas, from astrophysics and neuroscience to biophysics and molecular research. …
It is hard to tell which part of the systems market is lumpier – that for traditional HPC systems like supercomputers or that for massive cluster deployments for the hyperscalers that run public clouds and public facing applications on a massive scale. …
Over the course of the last five years, GPU computing has featured prominently in supercomputing as an accelerator on some of the world’s fastest machines. …
Bad things sometimes happen to good companies, but the great ones are resilient; they ride out the difficulties and keep forging ahead. …
Having access to fairly reliable 10-day forecasts is a luxury, but it comes with high computational costs for centers in the business of providing predictability. …
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