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检索条件"机构=DoD High Performance Computing Modernization Program"

共 21 条记录，以下是1-10 订阅

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dod high performance computing modernization program: Modernizing the Warfighter HPCMP Annual highlights FY2019/2020

DoD High Performance Computing Modernization Program: Modern...

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作者： McMahon, W Newmeyer, K Campbell, R Parsons, B DEFENSE HIGH PERFORMANCE COMPUTING MODERNIZATION PROGRAM OFFICE LORTON VA

I am excited to share with you the dod high performance computing modernization program (HPCMP) Annual highlights for 2019 and2020. As you will see, the HPCMP has had another outstanding 2 years of accomplishments and growth. Using the 2018 National DefenseStrategy as a guidepost, we have focused on supporting our customers from the government, industry, and academia with state-of-the-arthigh-performance computing (HPC) services and resources to help them find solutions to the most challenging science and technology(S and T), test and evaluation (T and E), and acquisition engineering problems facing our Department of Defense. With national defense prioritiesshifting to potential conflict with near-peer adversaries like China and Russia, the HPCMP ecosystem that has been developed for the past25 years has proven it is ideally suited to these challenges.

关键词： Test and evaluation Computational fluid dynamics Data analysis Military research Aircrafts Engineers Ship design Unmanned aerial systems Virtual prototyping Covid-19 Warfare Application software Fluid dynamics high performance computing Navy Network protocols Prototypes Sars Students Air force research laboratories

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Introduction of Applied Aerodynamics Surrogate Modeling Benchmark Cases

Introduction of Applied Aerodynamics Surrogate Modeling Benc...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Bekemeyer, Philipp Hariharan, Nathan Wissink, Andrew Cornelius, Jason Lilienthalplatz 7 Braunschweig38108 Germany DoD High Performance Computing Modernization Program AlexandriaVA22315 United States US Army DEVCOM AvMC Moffett FieldCA94035 United States NASA Ames Research Center Moffett FieldCA94035 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

From aircraft design to certification, a significant volume of aerodynamic data is required to ensure optimal performance, meet regulatory standards, and maintain structural integrity. These data must span the entire flight envelope, encompassing pressure and shear stress distributions, global coefficients, and derivatives. Traditionally sourced from flight tests, wind tunnel experiments, or numerical simulations, the data are often of varying fidelity, ranging from handbook methods to high-resolution simulations. In recent years, the demand for efficient use of these data has grown, driven by advancements in artificial intelligence and machine learning, enabling the development of fast-running surrogate models. Unlike traditional high-fidelity simulations or experimental setups, which can be resource-intensive, surrogate models trained on these data sets deliver rapid predictions comparable to database queries. The AIAA Applied Aerodynamics Surrogate Modeling (AASM) group was formed to bring focus to data-driven and AI modeling in aerospace sciences, uniting experts from academia, industry, and government agencies worldwide. The AASM group prioritizes the development, accuracy, and applicability of surrogate modeling for aerospace applications, including design optimization, uncertainty quantification, systems engineering, and mission analysis—all critical to a digital engineering ecosystem. To support evaluation and comparison of methodologies, this paper introduces four benchmark cases: an aerodynamic database of integrated airfoil performance coefficients, a missile case for 6DOF generation, and two data sets focusing on surface pressure distributions. These benchmarks highlight associated surrogate modeling challenges and will be made publicly available through AIAA, offering valuable resources for the aerospace community. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Shear stress

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The CREATE program: Design and analysis tools for dod weapon systems 54

The CREATE program: Design and analysis tools for DoD weapon...

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54th AIAA Aerospace Sciences Meeting, 2016

作者： Post, D.E. Atwood, C.A. Newmeyer, K.P. Meakin, R.L. Vogelsong, R.L. Hariharan, N. Morton, S. Livingston, J. D’Angelo, J.N. Dey, S. Gorski, J. Moyer, E.T. Mackenna, A. Strawn, R. DoD High Performance Computing Modernization LortonVA22079 United States Air Force Research Laboratory Wright-Patterson Air Force Base OH44543 United States Naval Research Laboratory WashingtonDC20375 United States Naval Surface Warfare Center Carderock Division West BethesdaMD20817 United States AMRDEC-Aeroflightdynamics Directorate Moffett FieldCA94035 United States

ISBN: (数字)9781624103933

ISBN: (纸本)9781624103933

The Department of Defense (dod) high performance computing modernization program (HPCMP) Computational Research and Engineering Acquisition Tools and Environments (CREATE) program is developing and deploying a suite of multi-physics-based high performance computing tools for the design and analysis of dod ships, air vehicles, ground vehicles, and radio frequency antennas that enable dod acquisition engineers to make accurate predictions of the physical performance of complex weapons systems (entire airplanes or ships) quickly enough to provide timely design decision data. These tools will enable acquisition engineers to identify and eliminate design defects and integration problems much earlier in the acquisition process before manufacturing has begun, significantly decreasing acquisition time, costs, and risks while improving weapon system performance. © 2016, American Institute of Aeronautics and Astronautics Inc, AIAA. All Rights Reserved.

关键词： Ground vehicles

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VecMeter: Measuring Vectorization on the Xeon Phi

VecMeter: Measuring Vectorization on the Xeon Phi

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IEEE International Conference on Cluster computing

作者： Joshua Peraza Ananta Tiwari William A. Ward Roy Campbell Laura Carrington Performance Modeling and Characterization (PMaC) Laboratory University of California San Diego High Performance Computing Modernization Program United States Department of Defense EP Analytics Inc

Wide vector units in Intel's Xeon Phi accelerator cards can significantly boost application performance when used effectively. However, there is a lack of performance tools that provide programmers accurate information about the level of vectorization in their codes. This paper presents VecMeter, an easy-to-use tool to measure vectorization on the Xeon Phi. VecMeter utilizes binary instrumentation and therefore does not require source code modifications. This paper describes the design of VecMeter, demonstrates its accuracy, defines a metric for quantifying vectorization, and provides an example where the tool can guide code optimization to improve performance by up to 33%.

关键词： Radiation detectors Hardware Kernel Registers Measurement Instruments Context

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Characterizing the performance-energy tradeoff of small ARM Cores in HPC computation 1

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20th International Conference on Parallel Processing, Euro-Par 2014

作者： Laurenzano, Michael A. Tiwari, Ananta Jundt, Adam Peraza, Joshua Ward Jr., William A. Campbell, Roy Carrington, Laura EP Analytics United States Dept. of Computer Science and Engineering University of Michigan United States Performance Modeling and Characterization Lab San Diego Supercomputer Center United States High Performance Computing Modernization Program U.S. Dept. of Defense United States

ISBN: (数字)9783319098739

ISBN: (纸本)9783319098722

Deploying large numbers of small, low-power cores has been gaining traction recently as a system design strategy in high performance computing (HPC). The ARM platform that dominates the embedded and mobile computing segments is now being considered as an alternative to high-end x86 processors that largely dominate HPC because peak performance per watt may be substantially improved using off-the-shelf commodity processors. In this work we methodically characterize the performance and energy of HPC computations drawn from a number of problem domains on current ARM and x86 processors. Unsurprisingly, we find that the performance, energy and energy-delay product of applications running on these platforms varies significantly across problem types and inputs. Using static program analysis we further show that this variation can be explained largely in terms of the capabilities of two processor subsystems: single instruction multiple data (SIMD)/floating point and the cache/memory hierarchy;and that static analysis of this kind is sufficient to predict which platform is best for a particular application/input pair. In the context of these findings, we evaluate how some of the key architectural changes being made for upcoming 64-bit ARM platforms may impact HPC application performance. © 2014 Springer International Publishing Switzerland.

关键词： Static analysis

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Understanding the performance of stencil computations on Intel's Xeon Phi

Understanding the performance of stencil computations on Int...

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IEEE International Conference on Cluster computing

作者： Joshua Peraza Ananta Tiwari Michael Laurenzano Laura Carrington William A. Ward Roy Campbell University of California San Diego CA USA San Diego Supercomputer Center La Jolla CA USA High Performance Computing Modernization Program United States Department of Defense

Accelerators are becoming prevalent in high performance computing as a way of achieving increased computational capacity within a smaller power budget. Effectively utilizing the raw compute capacity made available by these systems, however, remains a challenge because it can require a substantial investment of programmer time to port and optimize code to effectively use novel accelerator hardware. In this paper we present a methodology for isolating and modeling the performance of common performance-critical patterns of code (so-called idioms) and other relevant behavioral characteristics from large scale HPC applications which are likely to perform favorably on Intel Xeon Phi. The benefits of the methodology are twofold: (1) it directs programmer efforts toward the regions of code most likely to benefit from porting to the Xeon Phi and (2) provides speedup estimates for porting those regions of code. We then apply the methodology to the stencil idiom, showing performance improvements of up to a factor of 4.7× on stencil-based benchmark codes.

关键词： Heating Acceleration Computational modeling Atmospheric measurements Particle measurements Benchmark testing Three-dimensional displays

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Sustained systems performance monitoring at the U.S. department of defense high performance computing modernization program 11

Sustained systems performance monitoring at the U.S. departm...

引用

State of the Practice Reports, SC'11

作者： Bennett, Paul M. U.S. DoD High Performance Computing Modernization Program 3909 Halls Ferry Rd Vicksburg MS United States

ISBN: (纸本)9781450311397

The U.S. Department of Defense high performance computing modernization program (HPCMP) has implemented sustained systems performance testing on high performance computing systems in use at dod Supercomputing Resource Centers. The intent is to monitor performance improvements by updates to the operating system, compiler suites, and numerical and communications libraries, and to monitor penalties arising from security patches. In practice, each system's workload is simulated by appropriate choices of user application codes representative of the HPCMP computational technical areas. Past successes include surfacing an imminent failure of an OST in a Cray XT3, incomplete configuration of a scheduler update on an SGI Altix 4700, performance issues associated with a communications library update for a Linux Networx Advanced Technology Cluster, and intermittent resetting of Intel Nehalem cores to standard mode from turbo mode. This history demonstrates that SSP testing is critical to deliver the highest quality of service to the HPCMP users. Copyright 2011 ACM.

关键词： Quality of service

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A Static Binary Instrumentation Threading Model for Fast Memory Trace Collection

A Static Binary Instrumentation Threading Model for Fast Mem...

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high performance computing, Networking, Storage and Analysis (SCC), SC Companion:

作者： Michael A. Laurenzano Joshua Peraza Laura Carrington Ananta Tiwari William A. Ward Roy Campbell Performance Modeling and Characterization Laboratory San Diego Supercomputer Center University of California San Diego USA Department of Computer Science and Engineering University of California San Diego USA High Performance Computing Modernization Program United States Department of Defense USA

In order to achieve a high level of performance, data intensive applications such as the real-time processing of surveillance feeds from unmanned aerial vehicles will require the strategic application of multi/many-core processors and coprocessors using a hybrid of inter-process message passing (e.g. MPI and SHMEM) and intra-process threading (e.g. pthreads and OpenMP). To facilitate program design decisions, memory traces gathered through binary instrumentation can be used to understand the low-level interactions between a data intensive code and the memory subsystem of a multi-core processor or many-core co-processor. Toward this end, this paper introduces the addition of threading support for PMaCs Efficient Binary Instrumentation Toolkit for Linux/x86 (PEBIL) and compares PEBILs threading model to the threading models of two other popular Linux/x86 binary instrumentation platforms - Pin and Dyninst - on both theoretical and empirical grounds. The empirical comparisons are based on experiments which collect memory address traces for the OpenMP-threaded implementations of the NASA Advanced Supercomputing Parallel Benchmarks (NPBs). This work shows that the overhead of collecting full memory address traces for multithreaded programs is higher in PEBIL (7.7x) than in Pin (4.7x), both of which are significantly lower than Dyninst (897x). This work also shows that PEBIL, uniquely, is able to take advantage of interval-based sampling of a memory address trace by rapidly disabling and re-enabling instrumentation at the transitions into and out of sampling periods in order to achieve significant decreases in the overhead of memory address trace collection. For collecting the memory address streams of each of the NPBs at a 10% sampling rate, PEBIL incurs an average slowdown of 2.9x compared to 4.4x with Pin and 897x with Dyninst.

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dod high performance computing modernization program and future directions

DoD high performance computing modernization program and fut...

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InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration

作者： Henry, Cray High Performance Computing Modernization Program

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highlights of the CREATE program

Highlights of the CREATE Program

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dod high performance computing modernization program Users Group

作者： Douglass E. Post Department of Defense High Performance Computing Modernization Program (DoD HPCMP) VA

The Computational Research and Engineering Acquisition Tools and Environments (CREATE) program was established as a new 12-year program in FY 2008 by the Department of Defense (dod). The CREATE goal is to enable major improvements in dod's acquisition engineering design and analysis processes by developing and deploying scalable, multi-disciplinary, physics-based computational engineering software products for the design and analysis of dod Ships, Air Vehicles, and Radio Frequency Antennas. Meshing and Geometry (MG) generation is being provided by a fourth project, MG. CREATE is a multi-institutional, multi-service, multi-agency and multi-disciplinary program with participation by the Navy, Air Force, Army, the Office of the Secretary of Defense, industry, and academia. The CREATE products are being developed and released on an annual cycle. In 2010, the program released five new products: SENTRI 1.0 - RF antenna design; NESM 0.1 - Ship Shock Analysis; IHDE 1.0 - Ship Hydrodynamic Design and Analysis; Kestrel 1.0 - Fixed-wing air vehicle analysis; and Helios 1.0 -- Rotorcraft analysis. Enhanced versions of these products will be released every year starting in 2011. In 2011, five additional products will begin annual releases: DaVinci - a tool for the rapid physics-based design of air vehicles; RDI - an integrated suite of tools to enable rapid physics-based design of naval ships; Firebolt - components to provide models for gas turbine propulsion systems for Kestrel and Helios; NavyFoam - a high- fidelity hydrodynamics analysis tool for predicting drag and resistance, sea-keeping and seaway loads; and Capstone - components to enable the generation of geometries and meshes for all of the other products. The CREATE products are designed to be modular, maintainable, extensible, and scalable. To accomplish this, the CREATE team1 has developed a set of software engineering and software project management practices and processes that strike the appropriate balance between

关键词： Marine vehicles Software US Department of Defense Electric shock Radar antennas Hydrodynamics Testing

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