high performance computing on graphics processing units: hgpu.org

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Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation

Andre R. Brodtkorb, Martin L. Saetra, Mustafa Altinakar

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Visualization

December 22, 2011 by hgpu

Generative programming methods for parallel partial differential field equation solvers

Daniel Peter Playne

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Tags: Code generation, Computer science, CUDA, Field equations, MPI, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla C2050, Thesis

December 22, 2011 by hgpu

A GPU framework for parallel segmentation of volumetric images using discrete deformable model

Jerome Schmid, Jose A. Iglesias Guitian, Enrico Gobbetti, Nadia Magnenat-Thalmann

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Visualization

December 22, 2011 by hgpu

Extending adaptive sparse grids for stochastic collocation to hybrid parallel architectures

Richard K. Archibald, Ralf Deiterding, John Jakeman

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Tags: Computer science, CUDA, Hybrid computing, nVidia, Stochastic simulation, Tesla C2050

December 22, 2011 by hgpu

Solving Quadratic Programming Problems on Graphics Processing Unit

Yunlong Huang, Keck Voon Ling, Simon See

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla S1070

December 22, 2011 by hgpu

Porting and optimizing MAGFLOW on CUDA

Giuseppe Bilotta, Eugenio Rustico, Alexis Herault, Annamaria Vicari, Giovanni Russo, Ciro Del Negro, Giovanni Gallo

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Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization

December 21, 2011 by hgpu

Computational Fluid Dynamics Simulations using Many Graphics Processors

Ali Khajeh-Saeed, J. Blair Perot

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Tags: Algorithms, CUDA, Fluid dynamics, GPU cluster, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Poisson equation, Tesla C2070, Tesla S1070

December 21, 2011 by hgpu

Algorithm and implementation of multi-channel spike sorting using GPU in a home-care surveillance system

Yun-Yu Chen, Yi-Min Tsai, Liang-Gee Chen

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Tags: Algorithms, CUDA, Medicine, nVidia, Sorting

December 21, 2011 by hgpu

Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

Linh Ha, Marcel Prastawa, Guido Gerig, John H. Gilmore, Claudio T. Silva, Sarang Joshi1

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Tags: Algorithms, CUDA, Image processing, Image registration, Medicine, MRI, nVidia, nVidia GeForce GTX 260

December 21, 2011 by hgpu

A simulation suite for lattice Boltzmann based real time CFD applications exploiting multi-level parallelism on modern multi-and many-core architectures

Markus Geveler, Dirk Ribbrock, Sven Mallach, Dominik Goddeke

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285

December 21, 2011 by hgpu

Warp-Level Parallelism: Enabling Multiple Replications In Parallel on GPU

Jonathan Passerat-Palmbach, Jonathan Caux, Pridi Siregar, Claude Mazel, D.R.C.Hill

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Tags: Benchmarking, Computer science, CUDA, nVidia, Stochastic simulation, Tesla C2050, Warp level parallelism

December 21, 2011 by hgpu

A Normalized Particle Swarm Optimization Algorithm to Price Complex Chooser Option and Accelerating its Performance with GPU

Bhanu Pratap Sharma

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Tags: Algorithms, Computational finance, CUDA, Finance, nVidia, nVidia GeForce GTX 450, nVidia GeForce GTX 550 Ti, Thesis

December 21, 2011 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

Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation

Generative programming methods for parallel partial differential field equation solvers

A GPU framework for parallel segmentation of volumetric images using discrete deformable model

Extending adaptive sparse grids for stochastic collocation to hybrid parallel architectures

Solving Quadratic Programming Problems on Graphics Processing Unit

Porting and optimizing MAGFLOW on CUDA

Computational Fluid Dynamics Simulations using Many Graphics Processors

Algorithm and implementation of multi-channel spike sorting using GPU in a home-care surveillance system

Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

A simulation suite for lattice Boltzmann based real time CFD applications exploiting multi-level parallelism on modern multi-and many-core architectures

Warp-Level Parallelism: Enabling Multiple Replications In Parallel on GPU

A Normalized Particle Swarm Optimization Algorithm to Price Complex Chooser Option and Accelerating its Performance with GPU

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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