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Parallel computations on GPU in 3D using the vortex particle method

Andrzej Kosior, Henryk Kudela

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Tags: Algorithms, CUDA, Fluid dynamics, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 480, Poisson equation

October 4, 2012 by hgpu

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Daniel Valdez-Balderas, Jose M. Dominguez, Benedict D. Rogers, Alejandro J.C. Crespo

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, Fluid dynamics, GPU cluster, Instrumentation and Methods for Astrophysics, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 480, Physics, Sorting, Tesla M2050

October 4, 2012 by hgpu

Material Removal Simulation and Cutting Force Prediction of Multi-Axis Machining Processes on General-Purpose Graphics Processing Units

Balazs Tukora

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Tags: Algorithms, CAD, CUDA, Materials Science, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GTX 480

October 2, 2012 by hgpu

Parallel Application Library for Object Recognition

Bor-Yiing Su

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Computer vision, nVidia, nVidia GeForce GTX 480, OpenCL, Sparse matrix, Thesis

October 1, 2012 by hgpu

ARVO-CL: The OpenCL version of the ARVO package – An efficient tool for computing the accessible surface area and the excluded volume of proteins via analytical equations

Jan Busa Jr., Shura Hayryan, Ming-Chya Wu, Jan Busa, Chin-Kun Hu

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Tags: Algorithms, Biology, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL

September 30, 2012 by hgpu

Lattice QCD based on OpenCL

Matthias Bach, Volker Lindenstruth, Owe Philipsen, Christopher Pinke

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Physics, QCD

September 27, 2012 by hgpu

GPU Shape Grammars

Jean-Eudes Marvie, Cyprien Buron, Pascal Gautron, Patrice Hirtzlin, Gael Sourimant

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Tags: 3D Graphics and Realism, CAD, Computer science, DirectX, nVidia, nVidia GeForce GTX 480, Rendering, Visualization

September 26, 2012 by hgpu

GPF: a framework for general packet classification on GPU co-processors

Alastair Nottingham

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Security, Thesis

September 25, 2012 by hgpu

A Hardware-Accelerated Parallel Implementation of a Two-Dimensional Scheme for Free Surface Flows

Jacek A. Jankowski

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Tags: Algorithms, CUDA, Finite difference, Fluid dynamics, MPI, nVidia, nVidia GeForce GTX 480

September 24, 2012 by hgpu

ACO on Multiple GPUs with CUDA for Faster Solution of QAPs

Shigeyoshi Tsutsui

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

September 24, 2012 by hgpu

Large-Scale Motion Modelling using a Graphical Processing Unit

Yusuf Dinath

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Thesis

September 21, 2012 by hgpu

Autotuning Wavefront Abstractions for Heterogeneous Architectures

Siddharth Mohanty, Murray Cole

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL

September 21, 2012 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

Parallel computations on GPU in 3D using the vortex particle method

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Material Removal Simulation and Cutting Force Prediction of Multi-Axis Machining Processes on General-Purpose Graphics Processing Units

Parallel Application Library for Object Recognition

ARVO-CL: The OpenCL version of the ARVO package – An efficient tool for computing the accessible surface area and the excluded volume of proteins via analytical equations

Lattice QCD based on OpenCL

GPU Shape Grammars

GPF: a framework for general packet classification on GPU co-processors

A Hardware-Accelerated Parallel Implementation of a Two-Dimensional Scheme for Free Surface Flows

ACO on Multiple GPUs with CUDA for Faster Solution of QAPs

Large-Scale Motion Modelling using a Graphical Processing Unit

Autotuning Wavefront Abstractions for Heterogeneous Architectures

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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