C. Macon, D. Henn, Steve Wong, Chris Kung, Jianming Jin
{"title":"Rapid Antenna Model Creation","authors":"C. Macon, D. Henn, Steve Wong, Chris Kung, Jianming Jin","doi":"10.1109/HPCMP-UGC.2009.56","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2009.56","url":null,"abstract":"Computational electromagnetic (CEM) analysis software is employed extensively throughout the Department of Defense (DoD) tri-services and commercial sector to predict the in-situ performance of antennas installed on air, land and sea platforms. Accurate predictions require accurate geometry models, but generating high-fidelity geometry models of complex antennas is very labor intensive. Hence, the geometry modeling process is a bottleneck to rapid CEM analysis. Therefore, to increase design analysis throughput throughout the acquisition cycle, CEM antenna prediction tools must be user-friendly to allow for rapid antenna modeling and simulation. To enable the rapid generation of computer-aided design (CAD) antenna geometry models that are suitable for meshing and subsequent CEM analysis, a software tool was developed under the DoD High Performance Computing Modernization Program’s User Productivity, Enhancement, Technology Transfer and Training initiative. The tool features four templates for generating four common classes of antennas, namely the horn, flared notch, conformal patch, and spiral antennas. Each template features a user-friendly graphical user interface (GUI) wizard that allows the user to enter parameters (e.g., physical dimensions, notch taper functions) that define each antenna class. The underlying engine for each template is a CUBIT Python script which uses the parametric data to rapidly and automatically generate the specified antenna CAD geometry on-the-fly. Moreover, error-checking routines are incorporated into each template script to prevent the user from entering nonsensical parameters. These features ultimately save the user time in the geometry generation process. This paper provides a description of the tool along with performance metrics and an example of how the tool was tested on simple antenna geometry.","PeriodicalId":268639,"journal":{"name":"2009 DoD High Performance Computing Modernization Program Users Group Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126122644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Compressed Sensing Arrays for Frequency-Sparse Signal Detection and Geolocation","authors":"B. Miller, J. Goodman, K. Forsythe","doi":"10.1109/HPCMP-UGC.2009.48","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2009.48","url":null,"abstract":"Compressed sensing (CS) can be used to monitor very wide bands when the received signals are sparse in some basis. We have developed a compressed sensing receiver architecture with the ability to detect, demodulate, and geolocate signals that are sparse in frequency. In this paper, we evaluate detection, reconstruction, and angle of arrival (AoA) estimation via Monte Carlo simulation and find that, using a linear 4- sensor array and undersampling by a factor of 8, we achieve near-perfect detection when the received signals occupy up to 5% of the bandwidth being monitored and have an SNR of 20 dB or higher. The signals in our band of interest include frequency-hopping signals detected due to consistent AoA. We compare CS array performance using sensor-frequency and space-frequency bases, and determine that using the sensor-frequency basis is more practical for monitoring wide bands. Though it requires that the received signals be sparse in frequency, the sensor–frequency basis still provides spatial information and is not affected by correlation between uncompressed basis vectors.","PeriodicalId":268639,"journal":{"name":"2009 DoD High Performance Computing Modernization Program Users Group Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125883102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Vandenberghe, M. Barlage, S. Swerdlin, Judith D. Gardiner, Ashok Krishnamurthy, A. Chalker
{"title":"Climatologies Based on the Weather Research and Forecast (WRF) Model","authors":"F. Vandenberghe, M. Barlage, S. Swerdlin, Judith D. Gardiner, Ashok Krishnamurthy, A. Chalker","doi":"10.1109/HPCMP-UGC.2009.41","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2009.41","url":null,"abstract":"Because tests at Army Test and Evaluation Command (ATEC) ranges can often only be conducted under specific atmospheric conditions, climatologies of each range could be a very useful tool for long-range test planning. Such datasets can provide the probability density function of near-surface wind speed, percent cloud cover, temperature, precipitation, turbulence intensity, upper-atmospheric wind speed, etc., as a function of the month of the year, time of day, and location on the range. The STAR Institute with guidance from the Ohio Supercomputer Center is working on porting the Climate Four Dimensional Data Assimilation (CFDDA) technology developed by the National Center for Atmospheric Research to version 3 of the Weather and Research Forecast (WRF) model for use on systems within the Department of Defense High Performance Computing Modernization Prograf m. The fully parallelized WRF-CFDDA system uses data-assimilation by Newtonian relaxation, to generate a regional reanalysis that is consistent with both observations and model dynamics for every hour of the past 20 years, at fine scales (3 km grid) over the Dugway Proving Ground range.","PeriodicalId":268639,"journal":{"name":"2009 DoD High Performance Computing Modernization Program Users Group Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131240487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Sahu, J. Despirito, K. Heavey, M. Costello, Jenna Stahl
{"title":"Numerical Computations of Unsteady Aerodynamics of Maneuvering Projectiles","authors":"J. Sahu, J. Despirito, K. Heavey, M. Costello, Jenna Stahl","doi":"10.1109/HPCMP-UGC.2009.18","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2009.18","url":null,"abstract":"This paper describes a multidisciplinary computational study undertaken to model the flight trajectories and the free-flight aerodynamics of finned projectiles both with and without control maneuvers. Advanced computational capabilities in computational fluid dynamics (CFD), rigid body dynamics (RBD) and flight control system (FCS) have been successfully fully coupled on high performance computing (HPC) platforms for physics-based “Virtual Fly-Outs” of munitions. Timeaccurate Navier-Stokes computations have been performed with the commercial CFD++ software to compute the unsteady aerodynamics associated with the free flight of finned projectiles using an advanced scalable unstructured flow solver on a highly parallel Linux Cluster. Progress made in the exploration of new techniques to efficiently generate a complete aerodynamic description consisting of both static and dynamic aerodynamic coefficients for projectile flight dynamic modeling is described. A new procedure that uses timeaccurate sweeps allows rapid generation of static aerodynamic coefficients. Another method uses an unsteady, time accurate CFD simulation that is tightly coupled to a RBD projectile flight dynamic simulation and can generate both static and dynamic coefficients. A set of short time snippets of simulated projectile motion at different Mach numbers is computed using the integrated CFD/RBD/FCS software and employed as baseline data. The technique is being exercised on a finned and a canard-controlled projectile. The effect of canard angle deflection on the aerodynamics of the canard controlled projectile is currently being computed using the virtual fly out method and the CFD/RBD/FCS software.","PeriodicalId":268639,"journal":{"name":"2009 DoD High Performance Computing Modernization Program Users Group Conference","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127652295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards Prediction of 3-D Separated Flows Using an Unstructured LES Code","authors":"P. Chang, Minyee J. Jiang, Dory Lummer, K. Mahesh","doi":"10.1109/HPCMP-UGC.2009.23","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2009.23","url":null,"abstract":"In this paper, we document large eddy simulations (LES) performed on a sphere and the Advanced Swimmer Delivery System (ASDS), a small blunt-ended submarine. The objective of this work is to develop a methodology for being able to compute the occurrence and strength of stern separation in order to accurately predict drag, maneuvering and structural loads, and acoustic signatures. We are using an energy-conserving large eddy simulations (LES) code called MPCUGLES that runs with hybrid structured-unstructured meshes. We document LES of flow over a sphere at Reynolds numbers 10,000 to 1.14 million with excellent comparison to experimental data. We also document a preliminary effort for LES of flow over ASDS. Even the simplest of these computations is very CPU-intensive necessitating the large amounts of CPU time available through the HPCMP Challenge Project C3U.","PeriodicalId":268639,"journal":{"name":"2009 DoD High Performance Computing Modernization Program Users Group Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129168572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"NetDMF: A Scalable Active Data Hub for Mobile Network Modeling","authors":"J. Clarke, Kenneth D. Renard","doi":"10.1109/HPCMP-UGC.2009.52","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2009.52","url":null,"abstract":"In order to develop an interoperable set of simulators, scenario generation and analysis tools, a common data model and format is needed that can describe network devices, network topology, node movement, and packet information. NetDMF provides a foundation, a common data model and format, to advance development of a flexible software environment for simulations and data analysis from experiments and emulations. NetDMF’s design and support uses a superset of the eXtensible Data Model and Format (Xdmf) originally designed for physics-based simulations.","PeriodicalId":268639,"journal":{"name":"2009 DoD High Performance Computing Modernization Program Users Group Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122207380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Level-Set Approach for Large Scale Cavitation","authors":"M. Kinzel, J. Lindau, R. Kunz","doi":"10.1109/HPCMP-UGC.2009.8","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2009.8","url":null,"abstract":"In this work, a new level-set-based approach is presented and applied to compressible, multiphase flows. Using a species-mass-conservation-based level-set transport equation, several advantages over signeddistance- function-based methods are demonstrated. Specific improvements include a ghost-fluid-free method for highly compressible problems, extensions to an arbitrary number of specie, and finite-rate chemistry mass transfer modeling. While maintaining higher-order numerics, the approach is applicable to threedimensional (3D), time-accurate/steady, turbulent simulations. Herein, the method is applied to a flow solver that fully couples the mass, momentum, energy, and level-set transport equation; although the methods are equally applicable to segregated flow solvers. The methods are tested for ventilated supercavities, natural cavitation (incompressible, compressible, and thermal), and shock-induced boiling. Lastly, new reinitialization methods are developed specific to cavitating flows that decrease the interface diffusion where needed, while retaining an ability to admit subgrid-scale mixtures. Such an approach enables a more physical solution method for certain classes of multiphase flows. This formulation of the level-set approach is a general, valid, method that could easily be incorporated into any species-mass conservation solver.","PeriodicalId":268639,"journal":{"name":"2009 DoD High Performance Computing Modernization Program Users Group Conference","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130372038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Parallel Implementation of a Bioinformatics Pipeline for the Design of Pathogen Diagnostic Assays","authors":"R. Satya, Kamal Kumar, N. Zavaljevski, J. Reifman","doi":"10.1109/HPCMP-UGC.2009.36","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2009.36","url":null,"abstract":"The genomes of hundreds of pathogens and their near neighbors are now available and many more are being sequenced. With the availability of this genome information, sequence-based pathogen identification has become an increasingly important tool for clinical diagnostics and environmental monitoring of biological threat agents. Chief among sequence-based identification tools are DNA microarrays, which have the ability to test for thousands of pathogens in a single diagnostic test. The design of microarray diagnostic assays involves the identification of short DNA sequences unique to a pathogen or groups of pathogens, where these unique sequences, or “fingerprints” (also referred to as probes) are used to identify the pathogens. To design pathogen fingerprints, we developed TOFI (Tool for Oligonucleotide Fingerprint Identification), a high performance computing software pipeline that designs microarray probes for multiple related pathogens in a single run. The TOFI pipeline is extremely efficient in designing microarray fingerprints for multiple pathogens. Parallel implementation of computationally expensive specificity analysis of the designed fingerprints drastically reduces the overall execution time of the software. Comprehensive performance analysis shows that TOFI achieves super-linear speedup for up to 74 processors. A Web-based user interface, developed using the User Interface Toolkit, provides easy access to the pipeline. Using 74 processors, TOFI took approximately nine hours to design 5,015 in-silico probes for eight Burkholderia genomes with a combined size of more than 50 million base pairs. Experimental validation of these probes with various Burkholderia genomes showed that nearly 80% of the designed fingerprints identify the intended targets.","PeriodicalId":268639,"journal":{"name":"2009 DoD High Performance Computing Modernization Program Users Group Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133099457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Tikir, M. Laurenzano, L. Carrington, A. Snavely
{"title":"PSINS: An Open Source Event Tracer and Execution Simulator","authors":"M. Tikir, M. Laurenzano, L. Carrington, A. Snavely","doi":"10.1007/978-3-642-03869-3_16","DOIUrl":"https://doi.org/10.1007/978-3-642-03869-3_16","url":null,"abstract":"","PeriodicalId":268639,"journal":{"name":"2009 DoD High Performance Computing Modernization Program Users Group Conference","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114567061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Zybin, W. Goddard III, Peng Xu, Joanne Budzien, A. Thompson
{"title":"Reactive Molecular Dynamics of Shock- and Shear-Induced Chemistry in Energetic Materials for Future Force Insensitive Munitions","authors":"S. Zybin, W. Goddard III, Peng Xu, Joanne Budzien, A. Thompson","doi":"10.1109/HPCMP-UGC.2009.39","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2009.39","url":null,"abstract":"We report an approach to large-scale atomistic simulations of chemical initiation processes in shocked energetic materials based on parallel implementation of the ReaxFF reactive force field. Here, we present results of reactive molecular dynamics (MD) simulations of shocked Pentaerythritol Tetranitrate (PETN) single crystal, a conventional high explosive. We study a planar wall impact to compare mechanical and chemical response at different speeds. The dominant initiation reactions in both systems lead to the formation of NO2. The lagging secondary reactions lead to a formation of water, nitrogen, and other products. By tracking the position of the shock front as a function of time, we have been able to observe how the shock velocity changes in response to the storage and release of chemical energy behind the shock front. We also investigate the effect of shear along different slip systems on chemical initiation. All calculations are performed with massively parallel MD code GRASP enabling multi-million atom reactive MD simulations of chemical processes in many important stockpile materials.","PeriodicalId":268639,"journal":{"name":"2009 DoD High Performance Computing Modernization Program Users Group Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115134793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}