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Production System and Environment Sub-Program HPC applications in the International Potato Center Eng. Gonzalo Cucho-Padin Electronic Engineer,Research Assistant g.cucho@cgiar.org www.cipotato.org
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We are part of the Consultative Group on International Agricultural Research (CGIAR). We are present in many Regions and in differente countries (Peru, Brazil, Kenya, Ethiopia, India, China) Our objective is to improve potato (p.e. genetics, remote sensing among others) International Potato Center
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The Concept The adquisition of data about an object without aking physical contact. What we do We work with satellite multispectral imagery (7 bands) We adquire multispectral images from unmmaned aerial vehicles. (drones) We establish mathematical models of the potato (growth models, hydro stress models, spread of diseases) Remote Sensing
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Remote Sensing in two scales Large spatial extensionHigh resolution imagery
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Why two or more scales? For prediction/forecasting patterns in the agricultural lands from a small area to a large area. For these tasks we are working in many mathematical models. One of them is the Multifractal Analysis. Multifractal Analysis allows us to find a relationship between objects in different scales. Multifractal Analysis Logarithm Power
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HPC Facility CLOUD HPC Amazon EC2 HPC Instance name: cg1.4xlarge Linux Red hat 7, 64 bits 12 nodes, Intel Xeon x5570 4C HT 2x GPU NVIDIA Tesla M2050 OUR OWN SYSTEM Hardware We have 5 nodes Intel Xeon E5-2440, 2.4 Ghz, 6 cores RAM : 4GB Memory Software Rock++ 6 Linux Red Hat 7, 64 bits OpenMP OpenMPI
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