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Apr 18, 2013ISTeC Big Data Forum, Colorado State University1 “Big Data” at the Natural Resource Ecology Laboratory Randall B. Boone Research Scientist,

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Presentation on theme: "Apr 18, 2013ISTeC Big Data Forum, Colorado State University1 “Big Data” at the Natural Resource Ecology Laboratory Randall B. Boone Research Scientist,"— Presentation transcript:

1 Apr 18, 2013ISTeC Big Data Forum, Colorado State University1 “Big Data” at the Natural Resource Ecology Laboratory Randall B. Boone Research Scientist, Natural Resource Ecology Laboratory and Associate Professor, Department of Ecosystem Science and Sustainability ISTeC Big Data Forum Colorado State University April 18, 2013 Department of Ecosystem Science and Sustainability

2 Apr 18, 2013ISTeC Big Data Forum, Colorado State University2 Integrating across scales through Top-down and Bottom-up approaches D. Ojima

3 Apr 18, 2013ISTeC Big Data Forum, Colorado State University3 Agent-based Modeling and Big Data

4 Apr 18, 2013ISTeC Big Data Forum, Colorado State University4 G-Range, A Global Rangeland Model

5 Apr 18, 2013ISTeC Big Data Forum, Colorado State University5 T. Hilinski

6 Apr 18, 2013ISTeC Big Data Forum, Colorado State University6 T. Hilinski Potential Vegetation: Mean Annual NPP (gC/m 2 ) 1961-2006 Mean DayCent and Century Simulations

7 Apr 18, 2013ISTeC Big Data Forum, Colorado State University7 Managing Big Data at NREL Our data are big, but well described Unlike some industrial applications, the system must be exceedingly flexible Must be responsive to a variety of users (e.g., more diverse uses than the ISTeC Cray) Calculation-intensive uses Users are unlikely to have the ability to parallelize tools

8 Apr 18, 2013ISTeC Big Data Forum, Colorado State University8 Rubel Cluster – The Backbone of NREL’s “Mid-Performance Computing” Distributed memory computer cluster 256 processors 500 Gflops 463 GB memory 2 TB immediate storage 50-60 TB extended storage, plus 120 TB coming online Private 1 Gbps Ethernet interconnect, with 10 Gbps access to storage

9 Apr 18, 2013ISTeC Big Data Forum, Colorado State University9 Rubel Cluster Provides a testing platform for the CRAY for some Others use alternatives, such as R, which can make use of multiple processors Good, but not high performance computing A mix of desktop and cluster analyses yield “mid- performance computing” But it is effective!

10 Apr 18, 2013ISTeC Big Data Forum, Colorado State University10 Tom Hilinski

11 Apr 18, 2013ISTeC Big Data Forum, Colorado State University11 Rubel – Past, Present, and Future

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