high performance computing on graphics processing units: hgpu.org

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Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs

K. Hawick, A. Leist, D. Playne

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Tags: CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Physics

November 20, 2010 by hgpu

Accelerating numerical solution of stochastic differential equations with CUDA

M. Januszewski, M. Kostur

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Tags: Computational Physics, CUDA, Diffusion equation, nVidia, Package, Physics, Tesla C1060

November 19, 2010 by hgpu

Graphics processing unit–accelerated holography by simulated annealing

Joel Carpenter, Timothy D. Wilkinson

Tags: Computer holography, nVidia, nVidia GeForce GTX 260, Optics, Physics

November 18, 2010 by hgpu

Domain Decomposition method on GPU cluster

Yusuke Osaki, Ken-Ichi Ishikawa

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Mathematical Software, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, OpenMPI, Physics, QCD

November 16, 2010 by hgpu

Graphic processors to speed-up simulations for the design of high performance solar receptors

Sylvain Collange, Marc Daumas, David Defour

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Tags: ATI, ATI Radeon RX 1800 XL, nVidia, nVidia GeForce 7800 GTX, OpenGL, Optics, Package, Physics

November 13, 2010 by hgpu

Recent algorithm and machine developments for lattice QCD

Ken-Ichi Ishikawa

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Tags: High Energy Physics - Lattice, Monte Carlo simulation, Physics, QCD, Review

November 13, 2010 by hgpu

GPU computing for 2-d spin systems: CUDA vs OpenGL

Viola Anselmi, Giovanni Conti, Francesco Di Renzo

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Tags: CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Physics

November 13, 2010 by hgpu

Benchmarking and Implementation of Probability-Based Simulations on Programmable Graphics Cards

S. Tomov, M. McGuigan, R. Bennett, G. Smith, J. Spiletic

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Tags: Cg, Computer science, Ising model, Monte Carlo simulation, nVidia, Performance, Physics

November 13, 2010 by hgpu

Solving Kinetic Equations on GPUs I: Model Kinetic Equations

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

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Tags: Boltzmann equation, Computational Physics, CUDA, nVidia, nVidia GeForce GTX 260, Physics

November 13, 2010 by hgpu

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

Luigi Genovese, Matthieu Ospici, Thierry Deutsch, Jean-Francois Mehaut, Alexey Neelov, Stefan Goedecker

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Tags: Computational Physics, Condensed matter, CUDA, Materials Science, nVidia, Physics, Tesla S1070

November 13, 2010 by hgpu

Application of Graphics Processing Units to Search Pipeline for Gravitational Waves from Coalescing Binaries of Compact Objects

Shin Kee Chung, Linqing Wen, David Blair, Kipp Cannon, Amitava Datta

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Tags: CUDA, FFT, General Relativity and Quantum Cosmology, Gravitation, nVidia, nVidia GeForce 8800 Ultra, Physics

November 13, 2010 by hgpu

Efficient magnetohydrodynamic simulations on graphics processing units with CUDA

Hon-Cheng Wong, Un-Hong Wong, Xueshang Feng, Zesheng Tang

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Tags: Computational Physics, CUDA, Electrodynamics, Magnetohydrodynamics, nVidia, nVidia GeForce GTX 295, Physics

November 13, 2010 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

Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs

Accelerating numerical solution of stochastic differential equations with CUDA

Graphics processing unit–accelerated holography by simulated annealing

Domain Decomposition method on GPU cluster

Graphic processors to speed-up simulations for the design of high performance solar receptors

Recent algorithm and machine developments for lattice QCD

GPU computing for 2-d spin systems: CUDA vs OpenGL

Benchmarking and Implementation of Probability-Based Simulations on Programmable Graphics Cards

Solving Kinetic Equations on GPUs I: Model Kinetic Equations

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

Application of Graphics Processing Units to Search Pipeline for Gravitational Waves from Coalescing Binaries of Compact Objects

Efficient magnetohydrodynamic simulations on graphics processing units with CUDA

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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