10 research outputs found

    Risk assessment of climate systems for national security.

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    Climate change, through drought, flooding, storms, heat waves, and melting Arctic ice, affects the production and flow of resource within and among geographical regions. The interactions among governments, populations, and sectors of the economy require integrated assessment based on risk, through uncertainty quantification (UQ). This project evaluated the capabilities with Sandia National Laboratories to perform such integrated analyses, as they relate to (inter)national security. The combining of the UQ results from climate models with hydrological and economic/infrastructure impact modeling appears to offer the best capability for national security risk assessments

    Anticipating the unintended consequences of security dynamics.

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    In a globalized world, dramatic changes within any one nation causes ripple or even tsunamic effects within neighbor nations and nations geographically far removed. Multinational interventions to prevent or mitigate detrimental changes can easily cause secondary unintended consequences more detrimental and enduring than the feared change instigating the intervention. This LDRD research developed the foundations for a flexible geopolitical and socioeconomic simulation capability that focuses on the dynamic national security implications of natural and man-made trauma for a nation-state and the states linked to it through trade or treaty. The model developed contains a database for simulating all 229 recognized nation-states and sovereignties with the detail of 30 economic sectors including consumers and natural resources. The model explicitly simulates the interactions among the countries and their governments. Decisions among governments and populations is based on expectation formation. In the simulation model, failed expectations are used as a key metric for tension across states, among ethnic groups, and between population factions. This document provides the foundational documentation for the model

    PLAPACK: Parallel Linear Algebra Libraries Design Overview

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    Submitted to SC97 Corresponding Author: Robert van de Geijn Department of Computer Sciences The University of Texas at Austin Austin, TX 78712 (512) 471-9720 (office) (512) 471-8885 (fax) [email protected] Abstract Over the last twenty years, dense linear algebra libraries have gone through three generations of public domain general purpose packages. In the seventies, the first generation of packages were EISPACK and LINPACK, which implemented a broad spectrum of algorithms for solving dense linear eigenproblems and dense linear systems. In the late eighties, the second generation package called LAPACK was developed. This package attains high performance in a portable fashion while also improving upon the functionality and robustness of LINPACK and EISPACK. Finally, Since the early nineties, an effort to port LAPACK to distributed memory networks of computers has been underway as part of the ScaLAPACK project. PLAPACK is a maturing fourth generation package which uses a new, more a..

    A Comprehensive Approach to Parallel Linear Algebra Libraries

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    This document is in constant state of flux It is being distributed to generate discussions We are aware of its incompleteness and the fact that there are many typos. Contents
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