high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce GTX 280

Auto-tuning of fast fourier transform on graphics processors

Yuri Dotsenko, Sara S. Baghsorkhi, Brandon Lloyd, Naga K. Govindaraju

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia GeForce GTX 280, Performance, Software Engineering

September 14, 2011 by hgpu

Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing

Andrei Zaharescu, Richard Wildes

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 280, OpenCL

September 14, 2011 by hgpu

Data-intensive document clustering on graphics processing unit (GPU) clusters

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, GPU cluster, nVidia, nVidia GeForce GTX 280, Tesla C1060

September 13, 2011 by hgpu

Parallel volume rendering implementation on graphics cards using CUDA

Jens Fangerau, Susanne Kromker

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 280, OpenGL, Rendering, Visualization

September 13, 2011 by hgpu

Translation-invariant two-dimensional discrete wavelet transform on graphics processing units

Dietmar Wippig, Bernd Klauer

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Tags: Algorithms, ATI, ATI Radeon HD 4870, Discrete Wavelet Transform, GLSL, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Shaders

September 11, 2011 by hgpu

Fast Ultrasound Image Simulation Using the Westervelt Equation

Athanasios Karamalis, Wolfgang Wein, Nassir Navab

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Tags: Finite difference, GLSL, Medicine, nVidia, nVidia GeForce GTX 280, OpenGL, Ultrasound

September 8, 2011 by hgpu

A Fast GPU Implementation for Solving Sparse Ill-Posed Linear Equation Systems

Florian Stock, Andreas Koch

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Tags: Cell processor, Conjugate gradient solver, CUDA, FPGA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280, Optimization, Sparse matrix

September 8, 2011 by hgpu

High performance computation and interactive display of molecular orbitals on GPUs and multi-core CPUs

John E. Stone, Jan Saam, David J. Hardy, Kirby L. Vandivort, Wen-mei W. Hwu, Klaus Schulten

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Tags: Algorithms, Chemistry, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Performance, Programming techniques, Rendering, Visualization

September 7, 2011 by hgpu

Virtual Rheoscopic Fluids

Florian Hecht, Peter J. Mucha, Greg Turk

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Tags: Fluid dynamics, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Raytracing, Visualization

September 5, 2011 by hgpu

Fast Construction of SAH BVHs on the Intel Many Integrated Core (MIC) Architecture

Ingo Wald

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Tags: 3D Graphics and Realism, Computer science, KD-tree, nVidia, nVidia GeForce GTX 280, Optimization

September 5, 2011 by hgpu

Fault table generation using Graphics Processing Units

K. Gulati, S.P. Khatri

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Tags: Computer science, CUDA, Electronic design automation, Fault simulation, nVidia, nVidia GeForce GTX 280

September 5, 2011 by hgpu

Exploring the Millennium Run – Scalable Rendering of Large-Scale Cosmological Datasets

Roland Fraedrich, Jens Schneider, Rudiger Westermann

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Tags: Astrophysics, Computer science, Cosmology, DirectX, HLSL, nVidia, nVidia GeForce GTX 280, Rendering, Vector quantization, Visualization

September 4, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Auto-tuning of fast fourier transform on graphics processors

Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing

Data-intensive document clustering on graphics processing unit (GPU) clusters

Parallel volume rendering implementation on graphics cards using CUDA

Translation-invariant two-dimensional discrete wavelet transform on graphics processing units

Fast Ultrasound Image Simulation Using the Westervelt Equation

A Fast GPU Implementation for Solving Sparse Ill-Posed Linear Equation Systems

High performance computation and interactive display of molecular orbitals on GPUs and multi-core CPUs

Virtual Rheoscopic Fluids

Fast Construction of SAH BVHs on the Intel Many Integrated Core (MIC) Architecture

Fault table generation using Graphics Processing Units

Exploring the Millennium Run – Scalable Rendering of Large-Scale Cosmological Datasets

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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