high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Interactive Out-of-core Visualisation of Very Large Landscapes on Commodity Graphics Platform

P. Cignoni, F. Ganovelli, E. Gobbetti, F. Marton, F. Ponchio, R. Scopigno

View

Download (PDF)

Tags: Computer science, nVidia, Rendering

November 25, 2010 by hgpu

Interactive Deformation and Visualization of Level Set Surfaces Using Graphics Hardware

Aaron E. Lefohn, Joe M. Kniss, Charles D. Hansen, Ross T. Whitaker

View

Download (PDF)

Tags: ATI, ATI Radeon 9800 Pro, Computer science, OpenGL, Visualization

November 25, 2010 by hgpu

Empty Space Skipping and Occlusion Clipping for Texture-based Volume Rendering

W. Li, K. Mueller, A. Kaufman

View

Download (PDF)

Tags: Computer science, Image generation, nVidia, nVidia GeForce 4, OpenGL, Optimization, Rendering

November 25, 2010 by hgpu

Automatic shader level of detail

Marc Olano, Bob Kuehne, Maryann Simmons

Tags: 3D Graphics and Realism, Computer science, Rendering, Shaders

November 25, 2010 by hgpu

Nonlinear optimization framework for image-based modeling on programmable graphics hardware

Karl E. Hillesland, Sergey Molinov, Radek Grzeszczuk

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon 9700, Computer science, DirectX, Image generation, Optimization

November 25, 2010 by hgpu

Photon mapping on programmable graphics hardware

Timothy J. Purcell, Craig Donner, Mike Cammarano, Henrik W. Jensen, Pat Hanrahan

View

Download (PDF)

Tags: 3D Graphics and Realism, Cg, Computer science, nVidia, nVidia GeForce FX 5900 Ultra, Rendering

November 25, 2010 by hgpu

Acceleration Techniques for GPU-based Volume Rendering

J. Kruger, R. Westermann

View

Download (PDF)

Tags: 3D Graphics and Realism, ATI, ATI Radeon 9700, Computer science, Optimization, Rendering, Shaders

November 25, 2010 by hgpu

Using modern graphics architectures for general-purpose computing: a framework and analysis

Chris J. Thompson, Sahngyun Hahn, Mark Oskin

View

Download (PDF)

Tags: Computer science, nVidia, nVidia GeForce 4, OpenGL

November 24, 2010 by hgpu

Efficient partitioning of fragment shaders for multipass rendering on programmable graphics hardware

Eric Chan, Ren Ng, Pradeep Sen, Kekoa Proudfoot, Pat Hanrahan

View

Download (PDF)

Tags: ATI, ATI Radeon 8500, Computer science, Graph theory, OpenGL, Rendering, Shaders

November 24, 2010 by hgpu

Physically-based visual simulation on graphics hardware

Mark J. Harris, Greg Coombe, Thorsten Scheuermann, Anselmo Lastra

View

Download (PDF)

Tags: Cellular automata, Computer science, Fluid simulation, nVidia, nVidia GeForce 3, nVidia GeForce 4, OpenGL

November 24, 2010 by hgpu

Fast volumetric deformation on general purpose hardware

C. Rezk Salama, M. Scheuering, G. Soza, G. Greiner

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, Image generation, nVidia, nVidia GeForce 2, OpenGL, Shaders

November 24, 2010 by hgpu

A real-time procedural shading system for programmable graphics hardware

Kekoa Proudfoot, William R. Mark, Svetoslav Tzvetkov, Pat Hanrahan

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 3, OpenGL, Rendering, Shaders

November 24, 2010 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Interactive Out-of-core Visualisation of Very Large Landscapes on Commodity Graphics Platform

Interactive Deformation and Visualization of Level Set Surfaces Using Graphics Hardware

Empty Space Skipping and Occlusion Clipping for Texture-based Volume Rendering

Automatic shader level of detail

Nonlinear optimization framework for image-based modeling on programmable graphics hardware

Photon mapping on programmable graphics hardware

Acceleration Techniques for GPU-based Volume Rendering

Using modern graphics architectures for general-purpose computing: a framework and analysis

Efficient partitioning of fragment shaders for multipass rendering on programmable graphics hardware

Physically-based visual simulation on graphics hardware

Fast volumetric deformation on general purpose hardware

A real-time procedural shading system for programmable graphics hardware

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Most viewed papers (last 30 days)