high performance computing on graphics processing units: hgpu.org

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Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

A. Balevic, L. Rockstroh, A. Tausendfreund, S. Patzelt, G. Goch, S. Simon

Tags: Algorithms, CUDA, FDTD, Finite-difference time-domain, nVidia, Optics, Physics

March 24, 2011 by hgpu

Benchmarking GPU and CPU codes for Heisenberg spin glass overrelaxation

M. Bernaschi, G. Parisi, L. Parisi

Source codes

Tags: Condensed matter, CUDA, nVidia, nVidia GeForce GTX 480, Package, Physics, Spin Systems, Tesla C1060, Tesla C2050

March 9, 2011 by hgpu

Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

Sandra Diaz-Pier, Salvador E. Venegas-Andraca, Jose Luis Gomez-Munoz

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Physics, Quantum Physics, SAT, Symbolic Computation

March 9, 2011 by hgpu

General-purpose molecular dynamics simulations on GPU-based clusters

Christian R. Trott, Lars Winterfeld, Paul S. Crozier

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Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

March 8, 2011 by hgpu

Statistical constraints on binary black hole inspiral dynamics

Chad R. Galley, Frank Herrmann, John Silberholz, Manuel Tiglio, Gustavo Guerberoff

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Tags: CUDA, General Relativity and Quantum Cosmology, GPU cluster, nVidia, Physics

March 6, 2011 by hgpu

Building Correlators with Many-Core Hardware

Rob V. van Nieuwpoort and John W. Romein

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Tags: Astrophysics, ATI, ATI CAL, ATI IL, ATI Radeon HD 4870, ATI Stream, Cell processor, CUDA, nVidia, Physics, Signal processing, Tesla C1060

March 3, 2011 by hgpu

UCHPC – UnConventional High Performance Computing for Finite Element Simulations

Stefan Turek, Dominik Goddeke, Christian Becker, Sven H.M. Buijssen, Hilmar Wobker

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Tags: Finite element method, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5600, Physics

March 1, 2011 by hgpu

Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU

Dominik Goddeke, Hilmar Wobker, Robert Strzodka, Jamaludin Mohd-Yusof, Patrick McCormick, Stefan Turek

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Tags: CUDA, Finite element method, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5600, Physics

March 1, 2011 by hgpu

Fast and Memory Efficient GPU-Based Rendering of Tensor Data

Mario Hlawitschka, Sebastian Eichelbaum, Gerik Scheuermann

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Tags: Computer science, OpenGL, Physics, Rendering, Visualization

February 27, 2011 by hgpu

SU(2) Lattice Gauge Theory Simulations on Fermi GPUs

Nuno Cardoso, Pedro Bicudo

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Package, Physics

February 25, 2011 by hgpu

Algebraic 3D Reconstruction of Planetary Nebulae

Stephan Wenger, Juan Aja Fernandez, Christophe Morisset, Marcus Magnor

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Tags: Astrophysics, CUBLAS, CUDA, Image reconstruction, nVidia, Physics

February 24, 2011 by hgpu

GPU Acceleration of the Generalized Interpolation Material Point Method

Wei-Fan Chiang, Michael DeLisi, Todd Hummel, Tyler Prete, Kevin Tew, Mary Hall, Phil Wallstedt, James Guilkey

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Tags: CUDA, nVidia, nVidia GeForce 9600 GT, Particle-in-cell methods, Physics

February 22, 2011 by hgpu

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

Benchmarking GPU and CPU codes for Heisenberg spin glass overrelaxation

Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

General-purpose molecular dynamics simulations on GPU-based clusters

Statistical constraints on binary black hole inspiral dynamics

Building Correlators with Many-Core Hardware

UCHPC – UnConventional High Performance Computing for Finite Element Simulations

Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU

Fast and Memory Efficient GPU-Based Rendering of Tensor Data

SU(2) Lattice Gauge Theory Simulations on Fermi GPUs

Algebraic 3D Reconstruction of Planetary Nebulae

GPU Acceleration of the Generalized Interpolation Material Point Method

Recent source codes

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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