high performance computing on graphics processing units: hgpu.org

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Interactive multiple anisotropic scattering in clouds

Antoine Bouthors, Fabrice Neyret, Nelson Max, Eric Bruneton, Cyril Crassin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTS

February 25, 2011 by hgpu

Software-Based ECC for GPUs

Naoya Maruyama, Akira Nukada, Satoshi Matsuoka

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Tags: Computer science, CUDA, Error recovery, FFT, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, Tesla S1070

February 21, 2011 by hgpu

Precomputed Atmospheric Scattering

Eric Bruneton, Fabrice Neyret

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

February 10, 2011 by hgpu

Data parallel acceleration of decision support queries using Cell/BE and GPUs

Pedro Trancoso, Despo Othonos, Artemakis Artemiou

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Tags: Algorithms, Cell processor, Computer science, DirectX, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 GTS, Performance, RapidMind

February 7, 2011 by hgpu

Software Pipelined Execution of Stream Programs on GPUs

Abhishek Udupa, R. Govindarajan, Matthew J. Thazhuthaveeti

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Tags: Compilers, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTS, Package

February 5, 2011 by hgpu

Efficient image reconstruction for point-based and line-based rendering

Ricardo Marroquim, Martin Kraus, Paulo Roma Cavalcanti

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

January 30, 2011 by hgpu

Feature based terrain generation using diffusion equation

Houssam Hnaidi, Eric Guerin, Samir Akkouche, Adrien Peytavie, Eric Galin

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

January 30, 2011 by hgpu

Evaluating the Performance of Processing Medical Volume Data on Graphics Hardware

Matthias Raspe, Guido Lorenz and Stefan Muller

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Tags: Computed tomography, CT, Image processing, Medicine, MRI, nVidia, nVidia GeForce 8800 GTS

January 27, 2011 by hgpu

Fast collision detection using the A-buffer

Han-Young Jang, JungHyun Han

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Tags: Algorithms, Collision detection, Computer science, DirectX, Games, nVidia, nVidia GeForce 8800 GTS

January 15, 2011 by hgpu

Real-Time Rendering and Editing of Vector-based Terrains

Eric Bruneton, Fabrice Neyret

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Real-time graphics, Rendering

January 14, 2011 by hgpu

Low-cost, high-speed computer vision using NVIDIA’s CUDA architecture

Seung In Park, Sean P. Ponce, Jing Huang, Yong Cao, Francis Quek

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTS, Pattern recognition, Video tracking

January 13, 2011 by hgpu

Compensated Visual Hull for Defective Segmentation and Occlusion

Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Neal Orman, Tomoji Toriyama, Kiyoshi Kogure

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Tags: Computer science, Computer vision, Image reconstruction, nVidia, nVidia GeForce 8800 GTS, Shaders

January 12, 2011 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

Interactive multiple anisotropic scattering in clouds

Software-Based ECC for GPUs

Precomputed Atmospheric Scattering

Data parallel acceleration of decision support queries using Cell/BE and GPUs

Software Pipelined Execution of Stream Programs on GPUs

Efficient image reconstruction for point-based and line-based rendering

Feature based terrain generation using diffusion equation

Evaluating the Performance of Processing Medical Volume Data on Graphics Hardware

Fast collision detection using the A-buffer

Real-Time Rendering and Editing of Vector-based Terrains

Low-cost, high-speed computer vision using NVIDIA’s CUDA architecture

Compensated Visual Hull for Defective Segmentation and Occlusion

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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