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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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Final Report for "Accurate Spin Tracking on Modern Computer Architectures for Electron-Ion Colliders"
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A Comparison of Algebraic Multigrid Preconditioning Approaches for Sampling-Based Uncertainty Propagation on Advanced Computing Architectures.
Abstract not provided.
Improving Performance of Sampling-Based Uncertainty Quantification on Advanced Computing Architectures Through Embedded Ensemble Propagation.
Abstract not provided.
A neurally inspired spiking temporal processing unit computational architecture.
Abstract not provided.
Semi-Lagrangian algorithm design for atmospheric modeling using heterogeneous computing architectures.
Abstract not provided.
Residual-Minimizing Approaches for Transient Problems on Next-Generation Computing Architectures.
Abstract not provided.
Accurate Spin Tracking on Modern Computer Architectures for Electron-Ion Colliders
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Computer Architecture Laboratory for Design Space Exploration: CAL Goals and Objectives.
Abstract not provided.
Gemma: A Sandia National Laboratories Electromagnetic Code for Heterogeneous Computer Architectures.
Abstract not provided.
Technology Computer Aided Design Modeling of Semiconductor Devices in Parallel Computing Architectures.
Abstract not provided.
Gemma: An Electromagnetic Code for Heterogeneous Computer Architectures.
Abstract not provided.
Navier: Dataflow Architecture for Computation Chemistry
Navier’s objectives were two evaluate the use of emerging technologies, especially dataflow accelerators, for high-performance computing (HPC) applications, specifically in the domain of chemistry, and to develop a prototype software stack to support such applications. Navier builds on capabilities previously developed by synergistic projects, such as PNNL Data Model Convergence (DMC) LDRD Hardware Advanced Workflows (HAW) and DuOMO, as well as DOE ARIAA. Throughout its 18 months, the Navier team developed new capabilities and artifacts at all levels of the HW/SW stack, provided a seamless way to integrate novel computing architectures (Sambanova SN10 and Xilinx Versal AI) into an existing software stack, developed chemistry workflows, data analytics tools, and HPC molecular dynamics workflows that leverage the developed stack and PNNL institutional investments in emerging architectures. Navier also explored the use of active learning to accelerate a computational chemistry workflow for organic molecules on PNNL Junction cluster (in collaboration with AMD/Xilinx). Navier developed tools, methodologies, and studies for hardware software co-design and (sparse) dataflow accelerators that are composable and can be used together or separately. These methodologies are now used in other projects, such as DOE AMAIS and HPDA. This report describes Navier’s achievement, the developed tools and methodologies, and the research findings and conclusions.
VLSI Architectures for Computing DFT's
Simplifications result from use of residue Fermat number systems. System of finite arithmetic over residue Fermat number systems enables calculation of discrete Fourier transform (DFT) of series of complex numbers with reduced number of multiplications. Computer architectures based on approach suitable for design of very-large-scale integrated (VLSI) circuits for computing DFT's. General approach not limited to DFT's; Applicable to decoding of error-correcting codes and other transform calculations. System readily implemented in VLSI.