Sandia National Laboratories is currently using the DAS to determine its potential for integration into a system of large-scale informatics computing platforms. In one configuration, the DAS manages the massively large data volumes generated by collision simulations and other data-intensive applications already used by the labs.
"Traditional supercomputing technology allows us to run complex physics applications and visualize detailed simulations," said Dr. Richard Murphy, senior member of technical staff at Sandia National Laboratories. "However, these systems are not ideal for the informatics challenge of sorting through petabytes of data to find correlations and generate hypotheses. Our tests show that the DAS is a strong platform for helping us address these challenges."
The DAS looks for specific patterns and non-obvious relationships to better identify possible outcomes from the Sandia simulations. By accurately managing the massive data sets generated in these operations, the DAS enables traditional systems to more quickly extract relevant data to process scientific calculations in their core memory at high-speed.
"We are pleased to partner with Sandia National Labs in finding new ways of applying our technology to solve complex informatics challenges," said Haywood Talcove, chief executive officer, LexisNexis Special Services Inc., a trusted leader in enabling government agencies to transform data into mission critical decisions. "In tests conducted with Sandia National Labs, the DAS was shown to process complex algorithms faster and more efficiently than current marketplace systems.
In a second application, Sandia is working with LexisNexis Risk & Information Analytics Group to assess the applicability of the DAS to solve problems associated with natural language processing and machine comprehension of unstructured text.
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