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Results for “Application Abstraction”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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An Application of ASP in Nuclear Engineering: Explaining the Three Mile Island Nuclear Accident Scenario
Abstract The paper describes an ongoing effort in developing a declarative system for supporting operators in the Nuclear Power Plant (NPP) control room. The focus is on two modules: diagnosis and explanation of events that happened in NPPs. We describe an Answer Set Programming (ASP) representation of an NPP, which consists of declarations of state variables, components, their connections, and rules encoding the plant behavior. We then show how the ASP program can be used to explain the series of events that occurred in the Three Mile Island, Unit 2 (TMI-2) NPP accident, the most severe accident in the USA nuclear power plant operating history. We also describe an explanation module aimed at addressing answers to questions such as “why an event occurs?” or “what should be done?” given the collected data.
Application of a Novel Saddle Point Optimization Algorithm on Surface Reactions Involving Bidentate Adsorbates.
Abstract not provided.
Application of Multi-harmonic Balance for Nonlinear Frequency Response Analysis in MSC Nastran.
Abstract not provided.
A Practical Application of Global Sensitivity Analysis for Stochastic Epidemiology Models in Support of Policy Decisions.
Abstract not provided.
PAPI Profiling for Performant Kokkos Applications on DOE HPC Systems
This is for a presentation based on an extended abstract accepted to LDMSCon 24.
The application of remote sensing to the development and formulation of hydrologic planning models
For abstract, see N76-14576.
The application of remote sensing to the development and formulation of hydrologic planning models
For abstract, see N76-18632.
(abstract) A High Throughput 3-D Inner Product Processor
A particularily challenging image processing application is the real time scene acquisition and object discrimination. It requires spatio-temporal recognition of point and resolved objects at high speeds with parallel processing algorithms. Neural network paradigms provide fine grain parallism and, when implemented in hardware, offer orders of magnitude speed up. However, neural networks implemented on a VLSI chip are planer architectures capable of efficient processing of linear vector signals rather than 2-D images. Therefore, for processing of images, a 3-D stack of neural-net ICs receiving planar inputs and consuming minimal power are required. Details of the circuits with chip architectures will be described with need to develop ultralow-power electronics. Further, use of the architecture in a system for high-speed processing will be illustrated.
Applications of Future NASA Decadal Missions for Observing Earths Land and Water Processes
No abstract available
Application of Topological Data Analysis to Multi-Resolution Matching and Anomaly Detection
No abstract provided
Applications of the Microgrid Design Toolkit to Military Installations and Remote Communities in Alaska.
Abstract not provided.
APPLICATION OF A SIMPLIFIED FIVE STEP PROCESS TO IDENTIFY AND CLASSIFY SENSITIVE DIGITAL ASSETS.
Abstract not provided.
Applications of Ultrafast X-ray Imaging (UXI) cameras for Measuring ICF Plasma Dynamics.
Abstract not provided.
Application of Photorheology to the Characterization of UV-Curable REsins for DIW-AM.
Abstract not provided.
Design and Performance of Kokkos Staging Space toward Scalable Resilient Application Couplings
With the growing number of applications designed for heterogeneous HPC devices, application programmers and users are finding it challenging to compose scalable workflows as ensembles of these applications, that are portable, performant and resilient. The Kokkos C++ library has been designed to simplify this cumbersome procedure by providing an intra-application uniform programming model and portable performance. However, assembling multiple Kokkos-enabled applications into a complex workflow is still a challenge. Although Kokkos enables a uniform programming model, the inter-application data exchange still remains a challenge from both performance and software development cost perspectives. In order to address this issue, we propose Kokkos data staging memory space, an extension of Kokkos' data abstraction (memory space) for heterogeneous computing systems. This new abstraction allows to express data on a virtual shared-space for multiple Kokkos applications, thus extending Kokkos to support inter-application data exchange to build an efficient application workflow. Additionally, we study the effectiveness of asynchronous data layout conversions for applications requiring different memory access patterns for the shared data. Our preliminary evaluation with a synthetic benchmark indicate the effectiveness of this conversion adapted to three different scenarios representing access frequency and use patterns of the shared data.
ECHO: an application for detection and analysis of oscillators identifies metabolic regulation on genome-wide circadian output
Abstract Motivation Time courses utilizing genome scale data are a common approach to identifying the biological pathways that are controlled by the circadian clock, an important regulator of organismal fitness. However, the methods used to detect circadian oscillations in these datasets are not able to accommodate changes in the amplitude of the oscillations over time, leading to an underestimation of the impact of the clock on biological systems. Results We have created a program to efficaciously identify oscillations in large-scale datasets, called the Extended Circadian Harmonic Oscillator application, or ECHO. ECHO utilizes an extended solution of the fixed amplitude oscillator that incorporates the amplitude change coefficient. Employing synthetic datasets, we determined that ECHO outperforms existing methods in detecting rhythms with decreasing oscillation amplitudes and in recovering phase shift. Rhythms with changing amplitudes identified from published biological datasets revealed distinct functions from those oscillations that were harmonic, suggesting purposeful biologic regulation to create this subtype of circadian rhythms. Availability and implementation ECHO’s full interface is available at https://github.com/delosh653/ECHO. An R package for this functionality, echo.find, can be downloaded at https://CRAN.R-project.org/package=echo.find. Supplementary information Supplementary data are available at Bioinformatics online.