high performance computing on graphics processing units: hgpu.org

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Rapid Texture-based Volume Rendering

Chen Shihao, He Guiqing, Hao Chongyang

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTX, Raytracing, Rendering, Visualization

June 27, 2011 by hgpu

Importance-Driven Particle Techniques for Flow Visualization

Kai Burger, Polina Kondratieva, Jens Kruger, Rudiger Westermann

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 8800 GTX, Visualization

June 26, 2011 by hgpu

Efficient LBM Visual Simulation on Face-Centered Cubic Lattices

Kaloian Petkov, Feng Qiu, Zhe Fan, Arie E. Kaufman, Klaus Mueller

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Tags: Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

June 19, 2011 by hgpu

Legolizer: A Real-Time System for Modeling and Rendering LEGO Representations of Boundary Models

Luis F.M.S. Silva, Vitor F. Pamplona, Joao L.D. Comba

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

June 18, 2011 by hgpu

Direct Volume Editing

Kai Burger, Jens Kruger, Rudiger Westermann

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

June 18, 2011 by hgpu

Using the PhysX engine for physics-based virtual surgery with force feedback

Anderson Maciel, Tansel Halic, Zhonghua Lu, Luciana P. Nedel, Suvranu De

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX, Rendering, Surgical simulation

June 16, 2011 by hgpu

High Performance Stereo Vision Designed for Massively Data Parallel Platforms

Wei Yu, Tsuhan Chen, Franz Franchetti, James C. Hoe

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Real-time graphics, Stereo vision

June 3, 2011 by hgpu

Toward efficient GPU-accelerated N-body simulations

Mark J. Stock, Adrin Gharakhani

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce 8800 GTX

June 3, 2011 by hgpu

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

Laszlo Szirmay-Kalos, Gabor Liktor, Tamas Umenhoffer, Balazs Toth, Shree Kumar, Glenn Lupton

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Tags: CUDA, GPU cluster, Image processing, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX

May 31, 2011 by hgpu

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Christoph Muller, Steffen Frey, Magnus Strengert, Carsten Dachsbacher, Thomas Ertl

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia Quadro FX 5600, Performance

May 30, 2011 by hgpu

Real-Time Rendering and Manipulation of Large Terrains

Shiben Bhattacharjee, Suryakant Patidar, P. J. Narayanan

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Tags: Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics, Rendering

May 30, 2011 by hgpu

Fast GPU-Based CT Reconstruction using the Common Unified Device Architecture (CUDA)

Holger Scherl, Benjamin Keck, Markus Kowarschik, Joachim Hornegger

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

May 28, 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

Rapid Texture-based Volume Rendering

Importance-Driven Particle Techniques for Flow Visualization

Efficient LBM Visual Simulation on Face-Centered Cubic Lattices

Legolizer: A Real-Time System for Modeling and Rendering LEGO Representations of Boundary Models

Direct Volume Editing

Using the PhysX engine for physics-based virtual surgery with force feedback

High Performance Stereo Vision Designed for Massively Data Parallel Platforms

Toward efficient GPU-accelerated N-body simulations

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Real-Time Rendering and Manipulation of Large Terrains

Fast GPU-Based CT Reconstruction using the Common Unified Device Architecture (CUDA)

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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