high performance computing on graphics processing units: hgpu.org

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A shared-scene-graph image-warping architecture for VR: Low latency versus image quality

Ferdi Smit, Robert van Liere, Stephan Beck, Bernd Froehlich

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia Quadro FX 5600, OpenGL

November 28, 2010 by hgpu

On the efficiency of iterative ordered subset reconstruction algorithms for acceleration on GPUs

Fang Xu, Wei Xu, Mel Jones, Bettina Keszthelyi, John Sedat, David Agard, Klaus Mueller

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Tags: Cg, Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTX

November 28, 2010 by hgpu

Parallel LDPC Decoding on GPUs Using a Stream-Based Computing Approach

Gabriel Falcao, Shinichi Yamagiwa, Vitor Silva, Leonel Sousa

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Tags: Algorithms, Computer science, Error recovery, nVidia, nVidia GeForce 8800 GTX, Shaders

November 28, 2010 by hgpu

Time-varying clustering for local lighting and material design

Peijie Huang, Yuanting Gu, Xiaolong Wu, Yanyun Chen, Enhua Wu

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia Quadro FX 4500, Rendering

November 28, 2010 by hgpu

Complexity effective memory access scheduling for many-core accelerator architectures

George L. Yuan, Ali Bakhoda, Tor M. Aamodt

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Tags: Architecture, Computer science, CUDA, Hardware, Memory, nVidia

November 28, 2010 by hgpu

Evenly Spaced Streamlines for Surfaces: An Image-Based Approach

Benjamin Spencer, Robert S. Laramee, Guoning Chen, Eugene Zhang

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Tags: Computer science, nVidia, nVidia GeForce 7900 GS, Shaders, Visualization

November 27, 2010 by hgpu

Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA

Haixiang Shi, B. Schmidt, Weiguo Liu, W. Muller-Wittig

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Tags: Algorithms, Computer science, CUDA, Error recovery, nVidia, nVidia GeForce GTX 280

November 27, 2010 by hgpu

Parallel reconstruction of neighbor-joining trees for large multiple sequence alignments using CUDA

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, Sequence alignment, Smith-Waterman algorithm

November 27, 2010 by hgpu

Towards Accelerated Computation of Atmospheric Equations Using CUDA

Vaclav Simek, Radim Dvorak, Frantisek Zboril, Jiri Kunovsky

Tags: CUDA, Earth and Space Sciences, nVidia, Partial differential equations, PDEs

November 27, 2010 by hgpu

Boids that see: Using self-occlusion for simulating large groups on GPUs

Alessandro R. Da Silva, Wallace S. Lages, Luiz Chaimowicz

Tags: Artificial intelligence, Computer science, CUDA, Games, nVidia

November 27, 2010 by hgpu

Particle-Based Multiple Irregular Volume Rendering on CUDA

Ding Zhongming, Takuma Kawamura, Naohisa Sakamoto, Koji Koyamada

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

November 27, 2010 by hgpu

Fast Conjugate Gradients with Multiple GPUs

Ali Cevahir, Akira Nukada, Satoshi Matsuoka

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Tags: Computer science, Conjugate gradient solver, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 8800 GTS

November 27, 2010 by hgpu

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

A shared-scene-graph image-warping architecture for VR: Low latency versus image quality

On the efficiency of iterative ordered subset reconstruction algorithms for acceleration on GPUs

Parallel LDPC Decoding on GPUs Using a Stream-Based Computing Approach

Time-varying clustering for local lighting and material design

Complexity effective memory access scheduling for many-core accelerator architectures

Evenly Spaced Streamlines for Surfaces: An Image-Based Approach

Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA

Parallel reconstruction of neighbor-joining trees for large multiple sequence alignments using CUDA

Towards Accelerated Computation of Atmospheric Equations Using CUDA

Boids that see: Using self-occlusion for simulating large groups on GPUs

Particle-Based Multiple Irregular Volume Rendering on CUDA

Fast Conjugate Gradients with Multiple GPUs

Recent source codes

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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