high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Analysis of a Computational Biology Simulation Technique on Emerging Processing Architectures

Jeremy S. Meredith, Sadaf R. Alam, Jeffrey S. Vetter

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Tags: Biology, Cell processor, Cg, Computational biology, Molecular dynamics, nVidia, nVidia GeForce 7900 GTX

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

Sinus Endoscopy – Application of Advanced GPU Volume Rendering for Virtual Endoscopy

Arno Kruger, Christoph Kubisch, Bernhard Preim, Gero Strauss

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Tags: Cg, Medicine, nVidia, nVidia GeForce 8600 GS, OpenGL, Rendering, Visualization

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

Scalable GPU rendering of CSG models

Fabiano Romeiro, Luiz Velho, Luiz Henrique de Figueiredo

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 7950 GT, nVidia GeForce FX 5200, nVidia Quadro FX 5600, OpenGL, Raytracing

December 29, 2010 by hgpu

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

Fred V. Lionetti, Andrew D. McCulloch, Scott B. Baden

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Tags: Computational biology, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 295, Optimization

December 29, 2010 by hgpu

Benchmarking GPU Devices with N-Body Simulations

Daniel P. Playne, Mitchell Johnson, Kenneth A. Hawick

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Tags: Benchmarking, Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT

December 29, 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

Applications

Analysis of a Computational Biology Simulation Technique on Emerging Processing Architectures

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

Sinus Endoscopy – Application of Advanced GPU Volume Rendering for Virtual Endoscopy

Performing efficient NURBS modeling operations on the GPU

GPU Color Constancy

Wrinkling Coarse Meshes on the GPU

Scalable GPU rendering of CSG models

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

Benchmarking GPU Devices with N-Body Simulations

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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