Copy of IEEE Vis 2009 ParaView Tutorial Plugins
Abstract not provided.
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Jump to search filtersIceT users' guide and reference
The Image Composition Engine for Tiles (IceT) is a high-performance sort-last parallel rendering library. In addition to providing accelerated rendering for a standard display, IceT provides the unique ability to generate images for tiled displays. The overall resolution of the display may be several times larger than any viewport that may be rendered by a single machine. This document is an overview of the user interface to IceT.
Globalized Newton-Krylov Solvers Applied to Large-scale Simulation of Navier-Stokes and Magneto-hydrodynamic Systems
Sandia Simulation and Networking
Abstract not provided.
Summary of Modifications to Tabular EOS Material Driver
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Self-diffusion in Mo using the AM05 density functional
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Density Functional Theory (DFT) Simulations of Shocked Liquid Xenon
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Simulating Lifetime Diabetes Risk among Mexican-Americans Living along the US-Mexico: An Agent-Based Modeling Approach
Abstract not provided.
Brief Announcement: The Impact of Classical Electronics Constraints on a Solid-State Logical Qubit Memory
Abstract not provided.
Trilinos Tutorial
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Access to external resources using service-node proxies
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On Sacling I/O for Commodity Clusters
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Red Storm / Cray XT4: A Superior Architecture for Scalability
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Rethinking a Pythonic Modeling Architecture
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Evolution of Biosecurity
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LOCA and Other Trilinos Tools for Analysis of Large-Scale Dynamical Systems
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Recent Advances in Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Analysis and Design
Abstract not provided.
Using adversary text to detect adversary phase changes
The purpose of this work was to help develop a research roadmap and small proof ofconcept for addressing key problems and gaps from the perspective of using text analysis methods as a primary tool for detecting when a group is undergoing a phase change. Self- rganizing map (SOM) techniques were used to analyze text data obtained from the tworld-wide web. Statistical studies indicate that it may be possible to predict phase changes, as well as detect whether or not an example of writing can be attributed to a group of interest.
Catamount N-Way Performance on XT5
Abstract not provided.
The Canonical Tensor Decomposition and Its Applications to Data Analysis
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Using adversary text to detect adversary phase changes
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Application Performance on a Mildly Heterogeneous Supercomputer
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NEAMS: Overview of Verification
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Decision Support for Integrated Water-Energy Planning
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Parallel phase model : a programming model for high-end parallel machines with manycores
This paper presents a parallel programming model, Parallel Phase Model (PPM), for next-generation high-end parallel machines based on a distributed memory architecture consisting of a networked cluster of nodes with a large number of cores on each node. PPM has a unified high-level programming abstraction that facilitates the design and implementation of parallel algorithms to exploit both the parallelism of the many cores and the parallelism at the cluster level. The programming abstraction will be suitable for expressing both fine-grained and coarse-grained parallelism. It includes a few high-level parallel programming language constructs that can be added as an extension to an existing (sequential or parallel) programming language such as C; and the implementation of PPM also includes a light-weight runtime library that runs on top of an existing network communication software layer (e.g. MPI). Design philosophy of PPM and details of the programming abstraction are also presented. Several unstructured applications that inherently require high-volume random fine-grained data accesses have been implemented in PPM with very promising results.
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