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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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Real-Time Wavefront Control for the PALM-3000 High Order Adaptive Optics System
We present a cost-effective scalable real-time wavefront control architecture based on off-the-shelf graphics processing units hosted in an ultra-low latency, high-bandwidth interconnect PC cluster environment composed of modules written in the component-oriented language of nesC. The architecture enables full-matrix reconstruction of the wavefront at up to 2 KHz with latency under 250 us for the PALM-3000 adaptive optics systems, a state-of-the-art upgrade on the 5.1 meter Hale Telescope that consists of a 64 x 64 subaperture Shack-Hartmann wavefront sensor and a 3368 active actuator high order deformable mirror in series with a 241 active actuator tweeter DM. The architecture can easily scale up to support much larger AO systems at higher rates and lower latency.
Instrumentation and Testing of Ground and Flight Hardware
The goal of this white paper is to highlight some of the key issues associated with the instrumentation and testing of ground and flight hardware. The information is arranged topically and follows a line of organization that begins with the development of test objectives, the development of requirements, the purchase and installation of instrumentation, and covers many considerations to ensure that measurements will provide the required data during the conduct of the test. Ideally, all of these considerations would be factored into a test program; however, due to programmatic, budgetary, and calendar restraints, only a subset of these factors will typically be considered. Although the primary emphasis of this text is on thermal measurements, all disciplines can benefit from these recommendations.
Compressible Flow Analysis for High-Speed Vehicles
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Application of Thermal Loads to a Numerical Model
A detailed aerothermal model requires the application of the heat flux profile over all exposed aerodynamic surfaces. These loads are created using both engineering methods (e.g., FORTRAN codes implementing correlations) and CFD simulations (e.g., solutions to Navier-Stokes equations). The goal is to define the spatial and temporal dependency of the heat flux upon the model.
The Influence of Material Characterization on Thermal Loads Development and Flight Vehicle Design
The thermal management team faces a significant challenge to meet the aggressive thermal loading associated with hypersonic flight. Design strategies require the involvement of many engineering disciplines, as each must design their respective subsystem and then interface with all remaining subsystems to successfully close the vehicle design space. High fidelity thermal solid models will capture the variation in material properties and the effects of chemical reactions associated with hypersonic flight. Selection of the best materials for the mission will be based upon computational fluid dynamics and thermal modeling results. To enhance the probability for success, it is recommended that frequent communication occur between the thermal modeler and the materials scientist regarding design strategies and modeling assumptions. Early in the design process, lower fidelity modeling will be used to narrow the trade space. As promising designs are found, greater fidelity in the modeling process will be required to address more of the flowfield challenges and the material performance under the prescribed flight profile. The end goal is to select the most technically sound and physically advantageous material for the mission while avoiding overdesigning the vehicle due to modeling or material uncertainties. This presentation seeks to give an overview of the key thermal parameters that are affected through materials engineering, the interactions between a thermal engineer and other disciplines, and an example of the thermal design process, the X-43.
Targeting Atmospheric Simulation Algorithms for Large Distributed Memory GPU Accelerated Computers
Computing platforms are increasingly moving to accelerated architectures, and here we deal particularly with GPUs. In [15], a method was developed for atmospheric simulation to improve efficiency on large distributed memory machines by reducing communication demand and increasing the time step. Here, we improve upon this method to further target GPU accelerated platforms by reducing GPU memory accesses, removing a synchronization point, and better clustering computations. The modification ran over two times faster in some cases even though more computations were required, demonstrating the merit of improving memory handling on the GPU. Furthermore, we discover that the modification also has a near 100% hit rate in fast on-chip L1 cache and discuss the reasons for this. In concluding, we remark on further potential improvements to GPU efficiency.
Eulerian-Lagrangian GPU-Accelerated Parallel Solver with Adaptive Mesh Refinement
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Notes on Open MPI and UCX
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Getting It Right with Open MPI: Best Practices for Deployment and Tuning of Open MPI
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TAU Analytica: Bringing Advanced Data Analytics to Performance Analysis
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