high performance computing on graphics processing units: hgpu.org

hgpu.org » Rendering

Visualization of level-of-detail meshes on the GPU

Oscar Ripolles, Miguel Chover, Francisco Ramos

Tags: Computer science, Real-time graphics, Rendering, Visualization

March 9, 2011 by hgpu

Smooth Mixed-Resolution GPU Volume Rendering

Johanna Beyer, Markus Hadwiger, Torsten Moller, Laura Fritz

View

Download (PDF)

Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 280, OpenGL, Rendering, Visualization

March 3, 2011 by hgpu

Fast and Memory Efficient GPU-Based Rendering of Tensor Data

Mario Hlawitschka, Sebastian Eichelbaum, Gerik Scheuermann

View

Download (PDF)

Tags: Computer science, OpenGL, Physics, Rendering, Visualization

February 27, 2011 by hgpu

GPU ray casting of virtual globes

Patrick Cozzi, Frank Stoner

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8400 GS, Rendering, Visualization

February 27, 2011 by hgpu

An efficient GPU-based approach for interactive global illumination

Rui Wang, Rui Wang, Kun Zhou, Minghao Pan, Hujun Bao

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, KD-tree, nVidia, nVidia GeForce GTX 280, Rendering

February 24, 2011 by hgpu

Cloth Simulation on the GPU

Cyril Zeller

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 6800 Ultra, OpenGL, Presentation, Rendering

February 24, 2011 by hgpu

Parallel Cloth Simulation Using OpenMP and CUDA

Gillian David Sims

View

Download (PDF)

Tags: Computer science, Conjugate gradient solver, CUBLAS, CUDA, nVidia, nVidia GeForce 9800 GTX, OpenMP, Rendering, Thesis

February 24, 2011 by hgpu

GPU-based Multi-Volume Rendering of Complex Data in Neuroscience and Neurosurgery

Johanna Beyer

View

Download (PDF)

Tags: Computed tomography, Computer science, CT, CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 280, Rendering, Visualization

February 13, 2011 by hgpu

Efficient Sparse Voxel Octrees – Analysis, Extensions, and Implementation

Samuli Laine, Tero Karras

View

Download (PDF)

Source codes

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Package, Rendering

February 12, 2011 by hgpu

Efficient sparse voxel octrees

Samuli Laine, Tero Karras

View

Download (PDF)

Source codes

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Package, Rendering

February 12, 2011 by hgpu

A meshless hierarchical representation for light transport

Jaakko Lehtinen, Matthias Zwicker, Emmanuel Turquin, Janne Kontkanen, Fredo Durand, Francois Sillion, and Timo Aila

View

Download (PDF)

Tags: Algorithms, Image processing, nVidia, nVidia GeForce 8800 Ultra, Rendering

February 12, 2011 by hgpu

Random-access rendering of general vector graphics

Diego Nehab, Hugues Hoppe

View

Download (PDF)

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

February 10, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Visualization of level-of-detail meshes on the GPU

Smooth Mixed-Resolution GPU Volume Rendering

Fast and Memory Efficient GPU-Based Rendering of Tensor Data

GPU ray casting of virtual globes

An efficient GPU-based approach for interactive global illumination

Cloth Simulation on the GPU

Parallel Cloth Simulation Using OpenMP and CUDA

GPU-based Multi-Volume Rendering of Complex Data in Neuroscience and Neurosurgery

Efficient Sparse Voxel Octrees – Analysis, Extensions, and Implementation

Efficient sparse voxel octrees

A meshless hierarchical representation for light transport

Random-access rendering of general vector graphics

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)