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Data Pallets: Containerizing Storage For Reproducibility and Traceability

Lecture notes in computer science, 2020, Vol.11887

2020

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MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles

High Performance Computing, 2019, Vol.11501, p.186-205

2019

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Hybrid Fortran: High Productivity GPU Porting Framework Applied to Japanese Weather Prediction Model

Accelerator Programming Using Directives, p.20-41

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Resilient Optimistic Termination Detection for the Async-Finish Model

High Performance Computing, 2019, p.291-311

2019

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Implicit Low-Order Unstructured Finite-Element Multiple Simulation Enhanced by Dense Computation Using OpenACC

Accelerator Programming Using Directives, p.42-59

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A Case Study for Performance Portability Using OpenMP 4.5

Accelerator Programming Using Directives, p.75-95

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Comparing the Efficiency of In Situ Visualization Paradigms at Scale

High Performance Computing, 2019, Vol.11501, p.99-117

2019

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Finepoints: Partitioned Multithreaded MPI Communication

High Performance Computing, 2019, Vol.11501, p.330-350

2019

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Porting Adaptive Ensemble Molecular Dynamics Workflows to the Summit Supercomputer

2019

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PIConGPU: A Fully Relativistic Particle-in-Cell Code for a GPU Cluster

IEEE transactions on plasma science, 2010-10, Vol.38 (10), p.2831-2839

2010

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IEEE_Xplore

Evaluation of Asynchronous Offloading Capabilities of Accelerator Programming Models for Multiple Devices

Accelerator Programming Using Directives, p.160-182

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Highly interactive, steered scientific workflows on HPC systems: optimizing design solutions

2019

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GPUMixer: Performance-Driven Floating-Point Tuning for GPU Scientific Applications

High Performance Computing, p.227-246

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Automatic Testing of OpenACC Applications

Accelerator Programming Using Directives, p.145-159

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An Example of Porting PETSc Applications to Heterogeneous Platforms with OpenACC

Accelerator Programming Using Directives, p.3-19

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Exploration of Supervised Machine Learning Techniques for Runtime Selection of CPU vs. GPU Execution in Java Programs

Accelerator Programming Using Directives, p.125-144

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Distributed Out-of-Core Approach for In-Situ Volume Rendering of Massive Dataset

High Performance Computing, 34th International Conference, ISC High Performance 2019, p.623-633

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Concurrent Parallel Processing on Graphics and Multicore Processors with OpenACC and OpenMP

Accelerator Programming Using Directives, p.103-122

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Mediating data center storage diversity in HPC applications with FAODEL

2019

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Evaluating Performance Portability of OpenMP for SNAP on NVIDIA, Intel, and AMD GPUs Using the Roofline Methodology

Accelerator Programming Using Directives, p.3-24

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OpenMP Code Offloading: Splitting GPU Kernels, Pipelining Communication and Computation, and Selecting Better Grid Geometries

Accelerator Programming Using Directives, p.51-74

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Using Compiler Directives for Performance Portability in Scientific Computing: Kernels from Molecular Simulation

Accelerator Programming Using Directives, 2019, Vol.11381, p.22-47

2019

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Heterogeneous Programming and Optimization of Gyrokinetic Toroidal Code Using Directives

Accelerator Programming Using Directives, p.3-21

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Performance and Portability of a Linear Solver Across Emerging Architectures

Accelerator Programming Using Directives, p.61-79

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GPU Acceleration of the FINE/FR CFD Solver in a Heterogeneous Environment with OpenACC Directives

Accelerator Programming Using Directives, p.47-57

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Data Pallets: Containerizing Storage For Reproducibility and Traceability

MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles

Hybrid Fortran: High Productivity GPU Porting Framework Applied to Japanese Weather Prediction Model

Resilient Optimistic Termination Detection for the Async-Finish Model

Implicit Low-Order Unstructured Finite-Element Multiple Simulation Enhanced by Dense Computation Using OpenACC

A Case Study for Performance Portability Using OpenMP 4.5

Comparing the Efficiency of In Situ Visualization Paradigms at Scale

Finepoints: Partitioned Multithreaded MPI Communication

Porting Adaptive Ensemble Molecular Dynamics Workflows to the Summit Supercomputer

PIConGPU: A Fully Relativistic Particle-in-Cell Code for a GPU Cluster

Evaluation of Asynchronous Offloading Capabilities of Accelerator Programming Models for Multiple Devices

Highly interactive, steered scientific workflows on HPC systems: optimizing design solutions

GPUMixer: Performance-Driven Floating-Point Tuning for GPU Scientific Applications

Automatic Testing of OpenACC Applications

An Example of Porting PETSc Applications to Heterogeneous Platforms with OpenACC

Exploration of Supervised Machine Learning Techniques for Runtime Selection of CPU vs. GPU Execution in Java Programs

Distributed Out-of-Core Approach for In-Situ Volume Rendering of Massive Dataset

Concurrent Parallel Processing on Graphics and Multicore Processors with OpenACC and OpenMP

Mediating data center storage diversity in HPC applications with FAODEL

Evaluating Performance Portability of OpenMP for SNAP on NVIDIA, Intel, and AMD GPUs Using the Roofline Methodology

OpenMP Code Offloading: Splitting GPU Kernels, Pipelining Communication and Computation, and Selecting Better Grid Geometries

Using Compiler Directives for Performance Portability in Scientific Computing: Kernels from Molecular Simulation

Heterogeneous Programming and Optimization of Gyrokinetic Toroidal Code Using Directives

Performance and Portability of a Linear Solver Across Emerging Architectures

GPU Acceleration of the FINE/FR CFD Solver in a Heterogeneous Environment with OpenACC Directives

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