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2020 IEEE/ACM International Workshop on HPC User Support Tools (HUST) and Workshop on Programming and Performance Visualization Tools (ProTools), 2020, p.10-18

2020

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Large-scale semidefinite programs in electronic structure calculation

Mathematical programming, 2007-03, Vol.109 (2-3), p.553

2007

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NERSC Job Script Generator

2022 IEEE/ACM International Workshop on HPC User Support Tools (HUST), 2022, p.41-43

2022

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Debugging MPI Implementations via Reduction-to-Primitives

2022 IEEE/ACM Third International Symposium on Checkpointing for Supercomputing (SuperCheck), 2022, p.1-9

2022

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Using Pattern Search Methods for Surface Structure Determinationof Nanomaterials

Journal of physics. Condensed matter, 2006-06, Vol.18 (39)

2006

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NPAT - A Power Analysis Tool at NERSC

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2023, p.712-719

2023

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Porting VASP from MPI to MPI+OpenMP [SIMD]: Optimization Strategies, Insights and Feature Proposals

Scaling OpenMP for Exascale Performance and Portability, p.107-122

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A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization

High Performance Computing, p.226-245

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Message from the SuperCheck 2022 Workshop Chairs

2022 IEEE/ACM Third International Symposium on Checkpointing for Supercomputing (SuperCheck), 2022, p.iv-iv

2022

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Variational calculation of second-order reduced density matricesby strong N -representability conditions and an accurate semidefiniteprogramming solver

The Journal of chemical physics, 2008-04, Vol.128 (16), p.164113-164113-14

2008

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Power Analysis of NERSC Production Workloads

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2023, p.1279-1287

2023

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Comparing Power Signatures of HPC Workloads: Machine Learning vs Simulation

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2023, p.1890-1893

2023

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Simple Hamiltonians which exhibit drastic failures by variational determination of the two-particle reduced density matrix with some well known N-representability conditions

The Journal of chemical physics, 2006-12, Vol.125 (24), p.244109-244109

2006

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Simple Hamiltonians which exhibit drastic failures by variational determination of the two-particle reduced density matrixwith some well known N -representability conditions

The Journal of chemical physics, 2006-12, Vol.125 (24), p.244109-244109-8

2006

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Accelerating the Performance of Modal Aerosol Module of E3SM Using OpenACC

The reduced density matrix method for electronic structure calculations and the role of three-index representability conditions

A divide-and-conquer linear scaling three-dimensional fragment method for large scale electronic structure calculations

Using pattern search methods for surface structure determination of nanomaterials

Large-scale semidefinite programs in electronic structure calculation

A novel vehicle collision detection system: Integrating audio-visual fusion for enhanced performance

OpenMP in VASP: Threading and SIMD

Linear-scaling three-dimensional fragment method for large-scale electronic structure calculations

OpenMP in VASP: Threading and SIMD

Preparing NERSC users for Cori, a Cray XC40 system with Intel many integrated cores

Preparing NERSC users for Cori, a Cray XC40 system with Intel many integrated cores

Automation of NERSC Application Usage Report

Large-scale semidefinite programs in electronic structure calculation

NERSC Job Script Generator

Debugging MPI Implementations via Reduction-to-Primitives

Using Pattern Search Methods for Surface Structure Determinationof Nanomaterials

NPAT - A Power Analysis Tool at NERSC

Porting VASP from MPI to MPI+OpenMP [SIMD]: Optimization Strategies, Insights and Feature Proposals

A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization

Message from the SuperCheck 2022 Workshop Chairs

Variational calculation of second-order reduced density matricesby strong N -representability conditions and an accurate semidefiniteprogramming solver

Power Analysis of NERSC Production Workloads

Comparing Power Signatures of HPC Workloads: Machine Learning vs Simulation

Simple Hamiltonians which exhibit drastic failures by variational determination of the two-particle reduced density matrix with some well known N-representability conditions

Simple Hamiltonians which exhibit drastic failures by variational determination of the two-particle reduced density matrixwith some well known N -representability conditions

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