2006 HPCMP Users Group Conference (HPCMP-UGC'06)最新文献

{"title":"Multi-Scale Predictability of High-Impact Weather in the Battlespace Environment","authors":"J. Doyle, C. Reynolds, J. McLay, J. Teixeira, C. Bishop","doi":"10.1109/DOD.HPCMP.UGC.2008.16","DOIUrl":"https://doi.org/10.1109/DOD.HPCMP.UGC.2008.16","url":null,"abstract":"The objective of this project is to determine the predictability and define the methodologies for effective ensemble prediction of high-impact weather in the battle-space environment. To accomplish this goal, we test and evaluate methodologies for the generation of initial condition perturbations in ensemble forecasts. We also test and evaluate methodologies for the inclusion of model error in ensemble design, specifically testing the impact of stochastic perturbations to the model tendencies produced by the parameterization of deep convection. The first parameters that we examine here are tropical cyclone track forecasts, and upper and lower tropospheric wind speed","PeriodicalId":173959,"journal":{"name":"2006 HPCMP Users Group Conference (HPCMP-UGC'06)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124976650","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":"An Interactive Web-based HPC Reservation System","authors":"R.N. Schauer, S. Thompson","doi":"10.1109/HPCMP-UGC.2006.3","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2006.3","url":null,"abstract":"For years, while the vast majority of users at the DoD HPCMP MSRC's and DCs were serviced well by batch job queuing systems, a small minority of users, because their computing needs did not mesh well with the batch queuing system paradigm, kept asking for interactive access to the HPC machines. To address this need, in May 2005, the 256 processor ARL MSRC Linux Networx cluster, Powell, was transitioned to interactive use. Since no large HPCMP machine had operated this way before, a new approach that would regulate interactive usage in an automated fashion was needed. In response to that, the ARL MSRC has developed a Web-based reservation tool so that users may make advance reservations for nodes on Powell. This type of reservation system is new and quite different from any other queuing system model currently in use within the HPCMP. With just a batch queuing system, users submit jobs without having any predictable way to know when the jobs will actually run. But since a reservation system provides a means to reserve a specific number of processors at a specified time, users are able to easily plan for demonstrations, exercises or time-sensitive calculations. The reservation tool works in combination with the grid engine queuing system so that users have all the conveniences of a queuing system, provided they have made a reservation on the Web to acquire nodes. Using the queuing system has several benefits, such as starting the job, or jobs, when the reservation starts, generating the machine file for MPI jobs, and providing accounting services. Development of the reservation system has been a learning process for all involved. The objective of this paper is to provide a technical overview of this HPC reservation system. In addition, there will also be a discussion on how the system may be used to meet the demands of various types of research. The development cycle of the reservation system will be discussed, specifically giving a timeline as to when and why various features were added. There will also be a discussion on the operational policies governing the system and the rationale for those policies. The data collected from the system, has been in production for a full year, will be analyzed to show various metrics related to utilization. This data will help to gauge the success of this program thus far","PeriodicalId":173959,"journal":{"name":"2006 HPCMP Users Group Conference (HPCMP-UGC'06)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117354208","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":"Fluent VTK Extractor","authors":"R. Maple, R. Osterday, R. Vickery","doi":"10.1109/HPCMP-UGC.2006.27","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2006.27","url":null,"abstract":"A Fluent user defined function (UDF) to extract and save portions of a time-accurate simulation is presented. This UDF, called the Fluent VTK Extractor (FVE) makes use of the visualization toolkit (VTK) library to manipulate unstructured grid data and perform file 10. The FVE UDF is applied to three unsteady flow problems. Data storage reductions of up to 99% and runtime reductions of up to 15% are observed","PeriodicalId":173959,"journal":{"name":"2006 HPCMP Users Group Conference (HPCMP-UGC'06)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125335677","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":"Octave and Python: High-Level Scripting Languages Productivity and Performance Evaluation","authors":"J. C. Chaves, J. Nehrbass, B. Guilfoos, J. Gardiner, S. Ahalt, A. Krishnamurthy, J. Unpingco, A. Chalker, A. Warnock, S. Samsi","doi":"10.1109/HPCMP-UGC.2006.55","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2006.55","url":null,"abstract":"Octave and Python are open source alternatives to MATLAB, which is widely used by the High Performance Computing Modernization Program (HPCMP) community. These languages are two well known examples of high-level scripting languages that promise to increase productivity without compromising performance on HPC systems. In this paper, we report our work and experience with these two non-traditional programming languages at the HPCMP Centers. We used a representative sample of SIP codes for the study, with special emphasis given to the understanding of issues such as portability, degree of complexity, productivity and suitability of Octave and Python to address signal/image processing (SIP) problems on the HPCMP HPC platforms. We implemented a relatively simple two-dimensional (2D) FFT and a more complex image enhancement algorithm in Octave and Python and benchmarked these SIP codes on several HPCMP platforms, paying special attention to usability, productivity and performance aspects. Moreover, we performed a thorough benchmark containing important low level SIP core functions and algorithms and compared the outcome with the corresponding results for MATLAB. We found that the capabilities of these languages are comparable to MATLAB and they are powerful enough to efficiently implement complex SIP algorithms. Productivity and performance results for each language vary depending on the specific task and the availability of high level functions in each system to address such tasks. Therefore, the choice of the best language to use in a particular instance will strongly depend upon the specifics of the SIP application that needs to be addressed. We concluded that Octave and Python look like promising tools that may provide an alternative to MATLAB without compromising performance and productivity. Their syntax and functionality are similar enough to MATLAB to present a very shallow learning curve for experienced MATLAB users","PeriodicalId":173959,"journal":{"name":"2006 HPCMP Users Group Conference (HPCMP-UGC'06)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121592878","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":"Time-Accurate Numerical Prediction of Free Flight Aerodynamics of Projectiles","authors":"J. Sahu","doi":"10.1109/HPCMP-UGC.2006.72","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2006.72","url":null,"abstract":"This paper describes a new multidisciplinary computational study undertaken to model the flight trajectories and the free flight aerodynamics of both finned projectile at supersonic velocities and a spinning projectile at subsonic speeds with and without aerodynamic flow control. Actual flight trajectories are computed using an advanced coupled computational fluid dynamics (CFD)/rigid body dynamics (RBD) technique. An advanced time-accurate Navier-Stokes computational technique has been used in CFD to compute the unsteady aerodynamics associated with the free flight of the finned projectile at supersonic speeds and the spinning projectile at subsonic speeds. Computed positions and orientations of the projectile have been compared with actual data measured from free flight tests and are found to be generally in good agreement. Predicted aerodynamics forces and moments also compare well with the forces and moments used in the six degree freedom fits of the results of the same tests. Unsteady numerical results obtained from the coupled method show the flow field, the aerodynamic forces and moments, and the flight trajectories of the projectile","PeriodicalId":173959,"journal":{"name":"2006 HPCMP Users Group Conference (HPCMP-UGC'06)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122239276","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":"Intrusion Detection System Modeling","authors":"K. Han, J. Giordano","doi":"10.1109/HPCMP-UGC.2006.41","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2006.41","url":null,"abstract":"Database management system (DBMS) controls and manages the data to eliminate data redundancy and to ensure data integrity, consistency and availability, among other features. Even though DBMS vendors continue to offer greater automation and simplicity in managing databases, the need for intrusion database modeling and management practices have not been considered. Our research focuses on not only anomaly detection but also intrusion database management through planning and best practice adoption to improve operational efficiency, lower costs, privacy and security","PeriodicalId":173959,"journal":{"name":"2006 HPCMP Users Group Conference (HPCMP-UGC'06)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127955944","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":"Nonlinear Response of Strongly Correlated Materials to Large Electric Fields","authors":"James Freericks, V. Turkowski, V. Zlatić","doi":"10.1109/HPCMP-UGC.2006.52","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2006.52","url":null,"abstract":"Strongly correlated electron materials are materials where the electron-electron interaction is so strong it is of primary importance in determining how the materials behave. These materials may be tuned to pass through a metal-insulator transition as a function of chemical doping, pressure, or temperature. This tunability of their properties makes them good candidates for so-called \"smart materials\" that may change their properties to respond to the particular needs of a device. We employ a massively parallel algorithm to solve exactly for the response of these strongly correlated materials to the presence of a large electric field, including all nonlinear and non-equilibrium effects. The work was performed as a CAP Phase IIproject on the ERDC XT3 computer in the Winter of 2006. The code displayed good scalability up to approximately 3000 processors although most production runs employed about 1500 processors, because of machine load","PeriodicalId":173959,"journal":{"name":"2006 HPCMP Users Group Conference (HPCMP-UGC'06)","volume":"42 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116338814","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":"Prototype Visualization Tools For Multi-Experiment Performance Analysis","authors":"R. Araiza, J. Nava, A. Taylor, P. Teller, D. Cronk, S. Moore","doi":"10.1109/HPCMP-UGC.2006.60","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2006.60","url":null,"abstract":"The analysis of modern, parallelized applications, such as scientific modeling, is of interest to a variety of people within the computing community of the Department of Defense (DoD). Persons desiring insight into the performance of these large programs include application users, application programmers/developers, portfolio and center managers, and others. The analysis needed requires the examination of large data sets obtained from various performance analysis sources including, but not limited to, hardware counters, software event counters, communications event counters, and unrelated instrumentation code inserted into programs. The PCAT (Performance Analysis Team) at the University of Texas-El Paso (UTEP) has developed a suite of tools consisting of a performance database access tool and four different visualization methods to aid diverse DoD users in analyzing certain performance issues associated with serial and, especially, parallel programs. The tools are written in Java and provide multiple views of different aspects of performance metrics associated with a performance database. Preliminary analysis of two different codes resulted in PCAT users identifying possible sources of performance degradation solely from examination of performance metrics, without access to the source code","PeriodicalId":173959,"journal":{"name":"2006 HPCMP Users Group Conference (HPCMP-UGC'06)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124624048","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":"Characterization of Stratospheric Clear Air Turbulence for Air Force Platforms","authors":"A. Mahalov, M. Moustaoui, B. Nichols","doi":"10.1109/HPCMP-UGC.2006.12","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2006.12","url":null,"abstract":"Stratospheric mechanical turbulence (altitudes 12-25km) is characterized by patchy high frequency fluctuations in the stratospheric wind fields and long-lived energetic eddies with a few hundred meters scales in the vertical. The thin clear air turbulence (CAT) layers negatively impact the effective control, stability and performance of the newest generation of unmanned air vehicles (UAV) such as the Global Hawk. Flying through stratospheric CAT causes the autopilot to begin pitch oscillations that seriously degrade photographic and synthetic aperture radar performance as well as putting the platform itself at risk. While there is a need for a real-time forecast of these thin stratospheric CAT layers, these cannot be resolved by even the latest generation of weather research and forecasting (WRF) mesoscale meteorological codes. Some of the objectives of this challenge project are to influence the development of the next generation mesoscale numerical weather prediction codes for the lower stratosphere, by improving subgrid-scale parametrization of nonhomogeneous, anisotropic, non-Kolmogorov, patchy shear stratified stratospheric turbulence; and to enable forecasting of nonlinear, non-monochromatic inertia-gravity waves with large horizontal wavelengths (few hundred kilometers) which generate thin (few hundred meters) CAT layers","PeriodicalId":173959,"journal":{"name":"2006 HPCMP Users Group Conference (HPCMP-UGC'06)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128396309","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":"CWO Data Mining","authors":"M. J. Mohammadi-Aragh, D. Irby, R. Moorhead, R. Schumeyer","doi":"10.1109/HPCMP-UGC.2006.16","DOIUrl":"https://doi.org/10.1109/HPCMP-UGC.2006.16","url":null,"abstract":"The Navy Research Laboratory's Coastal Ocean Model (NCOM) is a realistic, large-scene simulation that runs daily and generates massive amounts of data. The data must be analyzed and/or reduced to provide pertinent information. This may be achieved through data mining by performing feature detection and/or region-of-interest detection. Data reduction using data mining techniques is not a new idea, especially when the objects of interest are ocean eddies. There are on the order of 20 methods to \"data mine\" for eddies. However, no one method has been tested on all models, few have been tried on multiple models or model types, and different methods require different data fields (e.g., salinity, temperature, horizontal velocity, vorticity). Our objective was to examine the most attractive eddy detection methods for NCOM and then determine which method provides the best results. We implemented and evaluated two eddy detection methods for NCOM data. The first is an algorithm created at Mississippi State University, which utilizes critical points in ocean flow. The algorithm was developed for the Navy Research Laboratory's Layered Ocean Model (NLOM) and performed well. The second algorithm is based on the Marr-Hildreth edge detection. We evaluated our results by comparing the detected eddy locations to eddies identified in ocean color from SeaWiFS in the northwestern Arabian Sea and Gulf of Oman","PeriodicalId":173959,"journal":{"name":"2006 HPCMP Users Group Conference (HPCMP-UGC'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128965517","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}