high performance computing on graphics processing units: hgpu.org

hgpu.org » ATI Radeon HD 6970

OpenCL Accelerated Multi-GPU Cone-Beam Reconstruction

Marc Kaseberg, Steffen Melnik, Erwin Keeve

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Tags: Algorithms, ATI, ATI Radeon HD 5770, ATI Radeon HD 6970, Computed tomography, CT, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 680, nVidia Quadro 600, OpenCL, Tomography

December 17, 2013 by hgpu

Integrated GPUs: how useful are they in HPC?

Jonatan Jansson

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Tags: APU, ATI, ATI Radeon HD 6970, Computer science, OpenCL, Performance, Thesis

December 9, 2013 by hgpu

QCDGPU: open-source package for Monte Carlo lattice simulations on OpenCL-compatible multi-GPU systems

Vadim Demchik, Natalia Kolomoyets

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 560 M, nVidia GeForce GTX 560 Ti, OpenCL, Package, Phase transition, Physics, Pseudo-random number generators, QCD

October 21, 2013 by hgpu

GPU & CPU implementation of Young – Van Vliet’s Recursive Gaussian Smoothing Filter

I. Vidal-Migallón, O. Commowick, X. Pennec, J. Dauguet, T Vercauteren

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Tags: ATI Radeon HD 6970, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 650, OpenCL

September 5, 2013 by hgpu

Acceleration of Feynman loop integrals in high-energy physics on many core GPUs

F. Yuasa, T. Ishikawa, N. Hamaguchi, T. Koike, N. Nakasato

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, High Energy Physics - Theory, OpenCL, Physics

August 17, 2013 by hgpu

A GPGPU based program to solve the TDSE in intense laser fields through the finite difference approach

Cathal O Broin, L.A.A Nikolopoulos

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computational Physics, Finite difference, OpenCL, Physics, Quantum Physics

August 9, 2013 by hgpu

Portable Parallel Kernels for High-Speed Beamforming in Synthetic Aperture Ultrasound Imaging

Joao Amaro, Gabriel Falcao, Billy Y. S. Yiu, Alfred C. H. Yu

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Tags: Algorithms, ATI, ATI Radeon HD 6970, nVidia, OpenCL, Signal processing, Tesla C1060, Ultrasound

August 6, 2013 by hgpu

Accelerating Fast Fourier Transform for Wideband Channelization

Carlo del Mundo, Vignesh Adhinarayanan, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, Computer science, FFT, FPGA, nVidia, OpenCL, Signal processing, Tesla C2075

June 6, 2013 by hgpu

A Performance Comparison of Different Graphics Processing Units Running Direct N-Body Simulations

R. Capuzzo-Dolcettaa, M. Spera

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Tags: Astrophysics, ATI, ATI Radeon HD 6970, ATI Radeon HD 7870, ATI Radeon HD 7970, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package, Tesla C1060, Tesla C2050, Tesla K20

April 9, 2013 by hgpu

Adapting Particle Filter Algorithms to Many-Core Architectures

Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamas Keviczky, Henk J. Sips

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Tags: Algorithms, ATI, ATI Radeon HD 6970, ATI Radeon HD 7970, Bayesian, Computer science, Computer vision, CUDA, Filtering, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package, Particle filtering

April 4, 2013 by hgpu

A Comparison of CPU and OpenCL Parallelization Methods for Correlation and Graph Layout Algorithms used in the Network Analysis of High Dimensional Data

Athanasios Theocharidis, Gibran Hemani, Michael Kargas, Tom C. Freeman

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Biology, Graph layout, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCL, OpenGL, Package, Visualization

February 5, 2013 by hgpu

Multi-Platform LU-Decomposition Solution in OpenCL

Ehsan Nasiri, Rafat Rashid, Saurabh Verma

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, FPGA, Linear Algebra, OpenCL

January 10, 2013 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

OpenCL Accelerated Multi-GPU Cone-Beam Reconstruction

Integrated GPUs: how useful are they in HPC?

QCDGPU: open-source package for Monte Carlo lattice simulations on OpenCL-compatible multi-GPU systems

GPU & CPU implementation of Young – Van Vliet’s Recursive Gaussian Smoothing Filter

Acceleration of Feynman loop integrals in high-energy physics on many core GPUs

A GPGPU based program to solve the TDSE in intense laser fields through the finite difference approach

Portable Parallel Kernels for High-Speed Beamforming in Synthetic Aperture Ultrasound Imaging

Accelerating Fast Fourier Transform for Wideband Channelization

A Performance Comparison of Different Graphics Processing Units Running Direct N-Body Simulations

Adapting Particle Filter Algorithms to Many-Core Architectures

A Comparison of CPU and OpenCL Parallelization Methods for Correlation and Graph Layout Algorithms used in the Network Analysis of High Dimensional Data

Multi-Platform LU-Decomposition Solution in OpenCL

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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