Matrix Models for ROSS
These models demonstrate the usage of the LLNL-modified ROSS, including the time class, LP interface, and event cancellation.
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These models demonstrate the usage of the LLNL-modified ROSS, including the time class, LP interface, and event cancellation.
FUDGEFudge provides (Python based) tools to: • Store and modify nuclear data. • Convert ENDF-6 formatted nuclear data [1] into Generalized Nuclear Data (GND) structure [2]. • Convert LLNL’s ENDL formatted nuclear data [3] into GND. • Plot data from GND files. • Check for physics problems in GND files. • Process nuclear data for use by Monte Carlo and/or deterministic codes. Fudge contains hooks for the future addition of nuclear data processing routines. The Fudge release includes samples of published ENDF-6 formatted data that can be converted to the new GND format. This software is the next release in a series of releases that began with GND version 0.1 [2].
This is the repository for the CDAT website developed at Lawrence Livermore National Laboratory (LLNL).
The Fat Crayon Toolkit (FCT) provides python modules for assisting in the design and visualization of boreholes and tunnels and their relationship with natural features such as fractures. Distances of closest approach among the boreholes can be calculated, along with other key design metrics. Additionally, the shear propensity of natural fractures (either deterministic or stochastic) can be visualized in either 3D (as VTK files) or in 2D (stereonets). The example provided demonstrates a test bed developed for the Enhanced Geothermal Systems (EGS) Collab project. This material is based upon work supported by the Geothermal Office of the Department of Energy and the Sanford Underground Research Facility and was prepared by LLNL under Contract DE-AC52-07NA27344.
This software converts XML files created by the Netfabb software to the XML format used by the Intelligent Feed Forward (IFF) tools developed at LLNL.
UMT is a Sn deterministic thermal radiative transport Fortran proxy application. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport in Fortran on unstructured meshes. It is based on the LLNL Teton Sn deterministic thermal radiative transport code.
YGM provides a simplified distributed memory communication framework based on a mailbox abstraction for HPC applications. YGM is designed for irregular data-driven applications that communicate small message payloads in an all-to-all fashion. YGM aggregates and routes messages into larger payloads to gain greater bandwidth utilization on modern HPC interconnects. YGM has been demonstrated up to 131k cores of IBM BG/P Sequoia and 96k cores of Catalyst at LLNL, and contains a set of graph-inspired benchmarks.
This repo demonstrates how to use the LLNL developed Gaussian process hyperparameter estimation method, MuyGPS, for image classification using Zwicky Transient Facility (ZTF) data.
SWIFT is a computer code that is designed to do research level signal analysis on seismic waveforms, including visualization, filtering and measurement. LLNL is using this code, amplitude and global tomography efforts.
LLNL HPC systems run a custom version of RedHat's RHEL operating system known as TOSS. In 2022, after working with DISA, Livermore Computing staff completed the STIG (Security Technical Implementation Guide) for the TOSS 4 operating system. This software project contains the source code associated with that STIG and implements checks and remediations for configuring a system in compliance with that STIG.
pylibROM introduces python binder for libROM through pybind11. Through python interface, users who are familiar with python can take advantage of capabilities available in libROM that is fully parallelized C++ library for reduced order modeling. libROM itself is an open source code developed at LLNL. libROM is available at https://github.com/LLNL/libROM .
ParaDiS, or Parallel Dislocation Simulator, is a simulation tool that performs direct numerical simulation of dislocation ensembles, the carriers of plasticity, to predict the strength in crystalline materials from the fundamental physics of defect motion, evolution, and interaction. The code has been successfully deployed on high performance computing architectures and used to study the origins of strength and strain hardening for cubic crystals, the strength of micro-pillars, and irradiated materials at LLNL. The ParaDiS code has been successfully deployed on more than one hundred thousand CPU's with over ten million active degrees of freedom.
Global Pathway Selection (GPS) is an algorithm to effectively generates reduced (skeletal) chemistry mechanisms, which speeds up simulations and can be used as a systematic analytics tool to extract insights from complex reacting system. This release is an extension of the original code to run in parallel and to use LLNL's Zero-RK solver for fast solution of chemical problems.
The alphas sublibrary aims to describe nuclear reactions between incident alpha particles and different nuclei. For ENDF/B-VIII.1, the LLNL ECPL evaluation for 6Li, and the JENDL-based NNL evaluations of 9 Be and 16,17 O were adopted. Also, there were minor fixes done to 4 He.
The Helium-3 (Helions) sublibrary aims to describe nuclear reactions between incident 3 He particles and different nuclei. For ENDF/B-VIII.1, we adopted a new 4He evaluation from the INDEN collaboration and the LLNL ECPL evaluation for 7 Li.
The neutrons sublibrary aims to describe nuclear reactions between incident neutron particles and different nuclei. For ENDF/B-VIII.1, many neutron files were re-evaluated or received major changes. A new 239Pu evaluation was jointly-produced by IAEA, LANL, LLNL and ORNL bringing important updates to fission neutron multiplicity, Prompt Fission Neutron Spectrum, resonance and fast regions. Around one third of the new neutron evaluations were performed as part of the INDEN collaboration, including 16,18 O, 19 F, 28,29,30 Si, 63,65 Cu, 50,51,52,53,54 Cr, 55 Mn, 54,56,57 Fe, 139 La, 233,235,238 U, 240,241 Pu. Important non-INDEN evaluations include 234,236 U, 206,207,208 Pb, 181 Ta, 88 Sr, 140,142 Ce, Pt and Dy isotopes, and many others. Also, dosimetry reactions from IRDFF-II were adopted for many materials.
The dataset consists of pairs of computationally simulated intracardiac transmembrane voltage recordings and ECG signals. In total, 16140 organ-level simulations were conducted to create this dataset, using a range of cardiac geometries and physiological parameters. Simulations were performed at LLNL's Lassen supercomputer, concurrently utilizing 4 GPUs and 40 CPU cores. Each simulation produced pairs of 500ms-by-10 ECG signals and 500ms-by-75 transmembrane voltage signals. For convenience, the signals are concatenated and saved as matrices. Each of these matrices is then stored as a numpy array. See the documentation for further details.