A5077993153- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- Advanced X-ray Imaging Techniques
- Advanced Data Storage Technologies
- Electron and X-Ray Spectroscopy Techniques
- Particle Accelerators and Free-Electron Lasers
- Data Visualization and Analytics
- Advanced Electron Microscopy Techniques and Applications
- Medical Imaging Techniques and Applications
- Cloud Computing and Resource Management
- Reservoir Engineering and Simulation Methods
- Modular Robots and Swarm Intelligence
- Logic, programming, and type systems
- Model-Driven Software Engineering Techniques
- Laser-Plasma Interactions and Diagnostics
- Parallel Computing and Optimization Techniques
- Multimedia Communication and Technology
- Advanced Software Engineering Methodologies
- X-ray Spectroscopy and Fluorescence Analysis
- Graphite, nuclear technology, radiation studies
- Reinforcement Learning in Robotics
- Hydrological Forecasting Using AI
- Model Reduction and Neural Networks
- Peer-to-Peer Network Technologies
- Crystallography and Radiation Phenomena
Los Alamos National Laboratory
2014-2024
University of Washington
1991
Predictive modeling of materials requires accurately parameterized constitutive models. Parameterizing models that describe dynamic strength and plasticity require experimentally probing in a variety strain rate regimes. Some experimental protocols (e.g., plate impact) probe the response material using indirect measures such as free surface velocimetry. Manual efforts to parameterize often lead non-unique optimizations without quantification parameter uncertainty. This study uses Bayesian...
We explore the use of asynchronous many-task (AMT) programming models for implementation in situ analysis towards goal maximizing programmer productivity and overall performance on next generation platforms. describe how a broad class statistics algorithms can be transformed from traditional single-programm multiple-data (SPMD) to an AMT implementation, demonstrating with concrete example: measurement descriptive implemented Legion. Our experiments quantify benefit possible drawbacks this...
The continuing improvement in quantum efficiency (above 90% for single visible photons), reduction noise (below 1 electron per pixel), and shrink pixel pitch (less than micron) motivate billion-pixel X-ray cameras (BiPC-X) based on commercial CMOS imaging sensors. We describe BiPC-X designs prototype construction flexible tiling of sensors with millions pixels. Device models are given direct detection low energy X-rays ($<$ 10 keV) indirect higher energies using scintillators. Modified...
In January 2019, the US Department of Energy, Office Science program in Advanced Scientific Computing Research, convened a workshop to identify priority research directions (PRDs) for situ data management (ISDM). A fundamental finding this is that methodologies used manage among variety tasks can be facilitate scientific discovery from many different sources—simulation, experiment, and sensors, example—and being able do so at numerous computing scales will benefit real-time decision-making,...
Rapid growth in data, computational methods, and computing power is driving a remarkable revolution what variously termed machine learning (ML), statistical learning, artificial intelligence. In addition to highly visible successes machine-based natural language translation, playing the game Go, self-driving cars, these new technologies also have profound implications for experimental science engineering, as well exascale systems that Department of Energy (DOE) developing support those...
Article Free Access Share on A view matcher for reusing Smalltalk classes Authors: Mary Beth Rosson IBM T.J. Watson Research Center, P.O.Box 704, Yorktown Heights, NY NYView Profile , John M. Carroll Christine Sweeney Department of Computer Science, University Washington, Seattle, WA WAView Authors Info & Claims CHI '91: Proceedings the SIGCHI Conference Human Factors in Computing SystemsApril 1991 Pages 277–283https://doi.org/10.1145/108844.108916Online:01 March 1991Publication History...
A new visualization tool, Cinema:Bandit, and its demonstration with a continuous workflow for analyzing shock physics experiments visually exploring the data in real time at X-ray light sources is presented. Cinema:Bandit an open-source, web-based application which experimenter may explore aggregated dataset to inform real-time beamline decisions enable post hoc analysis. The tool integrates experimental workflows that process raw detector into simple database format, it allows of disparate...
The performance of metal and polymer foams used in inertial confinement fusion (ICF), energy (IFE), high-energy-density (HED) experiments is currently limited by our understanding their nanostructure its variation bulk material. We utilized an X-ray-free electron laser (XFEL) together with lensless X-ray imaging techniques to probe the 3D morphology copper at nanoscale resolution (28 nm). observed thin shells more varied than expected from previous characterizations, a large number them...
The push towards exascale computing has sparked a new set of explorations for providing productive programming environments. While many efforts are focusing on the design and development domain-specific languages (DSLs), few have addressed need fully domain-aware toolchain. Without such domain awareness critical features achieving acceptance adoption, as debugger support, pose long-term risk to overall success DSL approach. In this paper we explore use language extensions implement Scout...
X-ray free-electron lasers (FELs) are being recognized as a powerful tool in an ever-increasing number of research fields, but very limited to the experiments that they can support. This work shows more beamtime could be made available by using `parasitic' geometries, where secondary experiment uses beam primary does not utilize. The first successful ptychography experiment, scanning coherent diffractive imaging technique, parasitic geometry at FEL is demonstrated. Utilizing CXI hutch Linac...
The push towards exascale computing has sparked a new set of explorations for providing productive programming environments. While many efforts are focusing on the design and development domain-specific languages (DSLs), few have addressed need fully domain-aware toolchain. Without such domain awareness critical features achieving acceptance adoption, as debugger support, pose long-term risk to overall success DSL approach. In this paper we explore use language extensions implement Scout...
We developed tools and a workflow for real-time analysis of data from dynamic diamond anvil cell experiments performed at user light sources. These allow users to determine the phases matter observed during compression materials in order make decisions an experiment improve quality experimental results maximize use scarce facility time. The fill gap that are real-time, flexible needs high-pressure scientists, connect automated processing results, can be easily incorporated into workflows...
Most machine learning models require many iterations of hyper-parameter tuning, feature engineering, and debugging to produce effective results. As become more complicated, this pipeline becomes difficult manage effectively. In the physical sciences, there is an ever-increasing pool metadata that generated by scientific research cycle. Tracking can reduce redundant work, improve reproducibility, aid in training dataset engineering process. case study, we present a tool for management dynamic...
ExaFEL is an HPC-capable X-ray Free Electron Laser (XFEL) data analysis software suite for both Serial Femtosecond Crystallography (SFX) and Single Particle Imaging (SPI) developed in collaboration with the Linac Coherent Lightsource (LCLS), Lawrence Berkeley National Laboratory (LBNL) Los Alamos Laboratory. supports real-time via a cross-facility workflow spanning LCLS HPC centers such as NERSC OLCF. Our work therefore constitutes initial path-finding US Department of Energy's (DOE)...
No abstract available.
The multitiered iterative phasing (MTIP) algorithm is used to determine the biological structures of macromolecules from fluctuation scattering data. It an that reconstructs electron density sample by matching computed X-ray data external observations, and simultaneously enforcing constraints in real Fourier space. This paper presents first ever MTIP acceleration efforts on contemporary graphics processing units (GPUs). Compute Unified Device Architecture (CUDA) programming model accelerate...