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Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

Tilman Dannert, Andreas Marek, Markus Rampp

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Tags: Computational Physics, CUDA, GPU cluster, Heterogeneous systems, nVidia, PC cluster, Physics, Plasma physics, Solar and Stellar Astrophysics, Tesla K20

October 8, 2013 by hgpu

A GPU cluster optimized multigrid scheme for computing unsteady incompressible fluid flow

Gyorgy Tegze, Gyula I. Toth

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Tags: ATI, ATI Radeon HD 7970, Fluid dynamics, GPU cluster, Mathematics, MPI, Numerical Analysis, Numerical simulation, nVidia, nVidia GeForce GTX 680, OpenCL

September 30, 2013 by hgpu

Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

Rey DeLeon, Kyle Felzien, Inanc Senocak

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Tags: CUDA, Earth and Space Sciences, GPU cluster, MPI, nVidia, Tesla S1070, Weather prediction, Weather Prediction Model

September 28, 2013 by hgpu

Efficient Computation of k-Nearest Neighbour Graphs for Large High-Dimensional Data Sets on GPU Clusters

Ali Dashti, Ivan Komarov, Roshan M. D'Souza

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Tags: Computer science, CUDA, GPU cluster, Nearest neighbour, nVidia, Tesla C2050

September 28, 2013 by hgpu

ClusterWatch: Flexible, Lightweight Monitoring for High-end GPGPU Clusters

Magdalena Slawinska, Karsten Schwan, Greg Eisenhauer

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Tags: Computer science, CUDA, GPU cluster, nVidia, Tesla M2090

September 20, 2013 by hgpu

Phase Transition in 3d Heisenberg Spin Glasses with Strong Random Anisotropies, through a Multi-GPU Parallelization

M. Baity-Jesi, L.A. Fernandez, V. Martin-Mayor, J.M. Sanz

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, GPU cluster, MPI, nVidia, Phase transition, Tesla M2050

September 9, 2013 by hgpu

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

Jeff Young, Se Hoon Shon, Sudhakar Yalamanchili, Alex Merritt, Karsten Schwan

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Source codes

Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Package

September 2, 2013 by hgpu

A Stochastic-based Optimized Schwarz Method for the Gravimetry Equations on GPU Clusters

Abal-Kassim Cheik Ahamed, Frederic Magoules

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Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, GPU cluster, nVidia, Tesla S1070

September 2, 2013 by hgpu

Tight Binding Molecular Dynamics on CPU and GPU clusters

Dimitar Pashov

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Tags: Algorithms, CUDA, Electrostatics, Fortran, GPU cluster, Linear Algebra, Molecular dynamics, MPI, nVidia, Physics, Tesla K20

August 23, 2013 by hgpu

Performance Analysis of a Symmetric Cryptography Algorithm on GPU and GPU Cluster

Adrian Pousa, Victoria Maria Sanz, Armando De Giusti

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Tags: AES, Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 560 Ti, Security

August 17, 2013 by hgpu

Studying the core-cusp problem in cold dark matter halos using N-body simulations on GPU clusters

Go Ogiya, Masao Mori, Yohei Miki, Taisuke Boku, Naohito Nakasato

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Tags: Analytical model, Astrophysics, Cosmology, CUDA, GPU cluster, Gravitation, N-body simulation, nVidia, Physics, Tesla M2090

August 17, 2013 by hgpu

Large-Scale Sound Field Rendering in Rectangular Room with Specular Reflection

Takao Tsuchiya, Osamu Yamashita

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite difference, Finite-difference time-domain, GPU cluster, nVidia, OpenMPI, Rendering, Tesla M2075, Wave equation

August 2, 2013 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

A GPU cluster optimized multigrid scheme for computing unsteady incompressible fluid flow

Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

Efficient Computation of k-Nearest Neighbour Graphs for Large High-Dimensional Data Sets on GPU Clusters

ClusterWatch: Flexible, Lightweight Monitoring for High-end GPGPU Clusters

Phase Transition in 3d Heisenberg Spin Glasses with Strong Random Anisotropies, through a Multi-GPU Parallelization

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

A Stochastic-based Optimized Schwarz Method for the Gravimetry Equations on GPU Clusters

Tight Binding Molecular Dynamics on CPU and GPU clusters

Performance Analysis of a Symmetric Cryptography Algorithm on GPU and GPU Cluster

Studying the core-cusp problem in cold dark matter halos using N-body simulations on GPU clusters

Large-Scale Sound Field Rendering in Rectangular Room with Specular Reflection

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

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