httpv://www.youtube.com/watch?v=cSMgCEqRn5c
In this video, Kathy Yelick, Associate Lab Director for Computing Sciences at LBNL discusses the importance of computational science and why we need faster supercomputers.
…today’s situation is clear: HPC is struggling with reliability at scale. Well over 10 years ago, Google proved that commodity hardware was both cheaper and more effective for hyperscale processing when controlled by software-defined systems, yet the HPC market persists with its old-school, hardware-based paradigm. Perhaps this is due to prevailing industry momentum or working within the collective comfort zone of established practices. Either way, hardware-centric approaches to storage resiliency need to go.
In order to derive meaning from big data, via implementing the capabilities of big data analytics, and create new opportunities and new value, organizations must find a way to obtain radically increased overall system throughput. This whitepaper describes how the GigaIO FabreX network makes such accelerated functionalities possible by achieving exceptionally low latency and high-bandwidth performance across an organization’s entire network.
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