high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Utilizing jump flooding in image-based soft shadows

Guodong Rong, Tiow Seng Tan

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Tags: 3D Graphics and Realism, Cg, Computer science, Image generation, nVidia, nVidia GeForce 6800 GT

January 3, 2011 by hgpu

Achieving O(1) IP lookup on GPU-based software routers

Jin Zhao, Xinya Zhang, Xin Wang, Xiangyang Xue

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Tags: Computer science, CUDA, Networks, nVidia, nVidia GeForce 8800 GT

January 3, 2011 by hgpu

SBArt4 – Breeding abstract animations in realtime

Tatsuo Unemi

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Tags: ATI, ATI Radeon X1600, Computer science, GLSL, nVidia, nVidia GeForce 9400 M, OpenGL, Real-time graphics

January 3, 2011 by hgpu

Cooperative Multitasking for GPU-Accelerated Grid Systems

Fumihiko Ino, Akihiro Ogita, Kentaro Oita, Kenichi Hagihara

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Tags: Computer science, CUDA, Grid, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280

January 3, 2011 by hgpu

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng and Naren Ramakrishnan

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Tags: Computer science, CUDA, Data mining, Neuroscience, nVidia, nVidia GeForce GTX 280, Programming techniques

January 2, 2011 by hgpu

Real-time Rendering of Heterogeneous Translucent Objects with Arbitrary Shapes

Yajun Wang, Jiaping Wang, Nicolas Holzschuch, Kartic Subr, Jun-Hai Yong, Baining Guo

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Tags: 3D Graphics and Realism, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

January 2, 2011 by hgpu

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Dominik Scherer, Hannes Schulz, Sven Behnke

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 285

January 2, 2011 by hgpu

Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis

Zhuo Feng, Zhiyu Zeng

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Tags: Algorithms, Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285

January 2, 2011 by hgpu

Automatic parallelization for graphics processing units

Alan Leung, Ondrej Lhotak, Ghulam Lashari

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Tags: Computer science, Java, nVidia, nVidia GeForce 7800, Programming techniques, RapidMind

January 2, 2011 by hgpu

Performing efficient NURBS modeling operations on the GPU

Adarsh Krishnamurthy, Rahul Khardekar, Sara McMains, Kirk Haller, Gershon Elber

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Tags: Algorithms, Computer science, Image generation, nVidia, nVidia Quadro FX 4500, Visualization

January 2, 2011 by hgpu

GPU Color Constancy

Marc Ebner

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Tags: Algorithms, Computer vision, GLSL, Image processing, OpenGL

December 29, 2010 by hgpu

Wrinkling Coarse Meshes on the GPU

Jorn Loviscach

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 6800 GT, Visualization

December 29, 2010 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

Applications

Utilizing jump flooding in image-based soft shadows

Achieving O(1) IP lookup on GPU-based software routers

SBArt4 – Breeding abstract animations in realtime

Cooperative Multitasking for GPU-Accelerated Grid Systems

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Real-time Rendering of Heterogeneous Translucent Objects with Arbitrary Shapes

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis

Automatic parallelization for graphics processing units

Performing efficient NURBS modeling operations on the GPU

GPU Color Constancy

Wrinkling Coarse Meshes on the GPU

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

Most viewed papers (last 30 days)