Kokkos and SNAP work in support of EXAALT and LAMMPS
Abstract not provided.
Publications
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Jump to search filtersPreparing for the Next Generation of Brain-Inspired AI
Abstract not provided.
Evaluating MPI Message Size Summary Statistics
Abstract not provided.
Rising Star: Seher Acer
Abstract not provided.
An a posteriori error analysis of the exact penalty formulation for stationary incompressible MHD
Abstract not provided.
Explainable Machine Learning Frameworks for Managing HPC Systems
Abstract not provided.
Rendezvous algorithms for large-scale particle simulations
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AIRSS: Adaptive Intrusion Response for Space Systems
Abstract not provided.
Distributed Graph Coloring on Multiple GPUs
Abstract not provided.
Chronicles of Astra: Challenges and Lessons from theFirst Petascale Arm Supercomputer
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Solving stochastic inverse problems for structure-property linkages using data-consistent inversion
Abstract not provided.
Bedrock Inversion and Hyper Differential Sensitivity Analysis for the Shallow Ice Model
Abstract not provided.
Probing quantum processor performance with pyGSTi
Quantum Science and Technology
PyGSTi is a Python software package for assessing and characterizing the performance of quantum computing processors. It can be used as a standalone application, or as a library, to perform a wide variety of quantum characterization, verification, and validation (QCVV) protocols on as-built quantum processors. We outline pyGSTi's structure, and what it can do, using multiple examples. We cover its main characterization protocols with end-to-end implementations. These include gate set tomography, randomized benchmarking on one or many qubits, and several specialized techniques. We also discuss and demonstrate how power users can customize pyGSTi and leverage its components to create specialized QCVV protocols and solve user-specific problems.
Impactful Visualizations
Abstract not provided.
RaDD Runtimes:Radical and Different Distributed Runtimes with SmartNICs
Abstract not provided.
Coramin: An Open-Source Toolset for Developing MINLP Algorithms
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Modern Container Runtimes for Exascale computing era
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Decomposing Optimization-Based Bounds Tightening Problems Via Graph Partitioning
Abstract not provided.
GALINI: An extensible MIQCQP solver
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A performance-portable nonhydrostatic atmospheric dycore for the Energy Exascale Earth System Model running at cloud-resolving resolutions
Abstract not provided.
High-order property-preserving semi-Lagrangian tracer transport in E3SM
Abstract not provided.
Research Develop Deploy: Building a Full Spectrum Software Engineering and Research Department
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Recent Developments in Pyomo
Abstract not provided.
Local-nonlocal coupling in Emu/PDMS
A technique called the splice method for coupling local to peridynamic subregions of a body is described. The method relies on ghost nodes, whose values of displacement are interpolated from nearby physical nodes, to make each subregion visible to the other. In each time step, the nodes in each subregion treat the nodes in the other subregion as boundary conditions. Adaptively changing the subregions is possible through the creation and deletion of ghost nodes. Example problems in 2D and 3D illustrate how the method is used to perform multiscale modeling of fracture and impact events within a larger structure.
Classical and Quantum Control of a Trapped Ion Quantum Computing Testbed System
Abstract not provided.
Results 1176–1200 of 9,998