high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science » 3D Graphics and Realism

Parallel spatial data structures for interactive rendering

Ismael Garcia Fernandez

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Tags: 3D Graphics and Realism, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 480, Rendering, Thesis

March 12, 2013 by hgpu

GEARS: A General and Efficient Algorithm for Rendering Shadows

Lili Wang, Ze Wang, Yulong Shi, Voicu Popescu

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering

February 28, 2013 by hgpu

Ray Tracing on GPUs

Tom Morris Feist, Florian Wende

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Raytracing, Tesla C1060, Tesla M2090, Tutorial

February 21, 2013 by hgpu

Analytic Visibility on the GPU

T. Auzinger, M. Wimmer, S. Jescke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 680, Rendering, Triangular meshes

January 16, 2013 by hgpu

Ray Tracing in Real-Time Games

J. Bikker

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Games, Image generation, nVidia, nVidia GeForce GTX 470, Rasterization, Raytracing, Rendering, Thesis

January 15, 2013 by hgpu

Toward Practical Real-Time Photon Mapping: Efficient GPU Density Estimation

Michael Mara, David Luebke, Morgan McGuire

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 670, Rendering

January 13, 2013 by hgpu

An implementation for quad-tree based solid object coloring using CUDA

Baha Sen, Caner Ozcan, Nesrin Aydin Atasoy

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, nVidia Quadro FX 2000

January 9, 2013 by hgpu

Distributed Massive Model Rendering

Revanth N R, P. J. Narayanan

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia Quadro FX 3700 M, Rendering, Tesla C2050, Tesla C2070, Tesla S1070

January 8, 2013 by hgpu

Approximate Subdivision Surface Evaluation in the Language of Linear Algebra

Michael Driscoll

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Tags: 3D Graphics and Realism, Computer science, CUDA, Image generation, Linear Algebra, nVidia, nVidia GeForce GTX 480, Sparse matrix

January 5, 2013 by hgpu

Fast Global Illumination for Interactive Volume Visualization

Yubo Zhang, Kwan-Liu Ma

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Tags: 3D Graphics and Realism, Computer science, CUDA, Differential equations, Diffusion equation, nVidia, nVidia GeForce GTX 460, Visualization

January 4, 2013 by hgpu

Hybrid Ray Tracing and Path Tracing of Bezier Surfaces Using A Mixed Hierarchy

Rohit Nigam, P. J. Narayanan

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Raytracing

December 29, 2012 by hgpu

Interactive Bi-scale Editing of Highly Glossy Materials

Kei Iwasaki, Yoshinori Dobashi, Tomoyuki Nishita

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Tags: 3D Graphics and Realism, Computer science, GLSL, nVidia, nVidia GeForce GTX 580, OpenGL, Rendering

December 20, 2012 by hgpu

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Parallel spatial data structures for interactive rendering

GEARS: A General and Efficient Algorithm for Rendering Shadows

Ray Tracing on GPUs

Analytic Visibility on the GPU

Ray Tracing in Real-Time Games

Toward Practical Real-Time Photon Mapping: Efficient GPU Density Estimation

An implementation for quad-tree based solid object coloring using CUDA

Distributed Massive Model Rendering

Approximate Subdivision Surface Evaluation in the Language of Linear Algebra

Fast Global Illumination for Interactive Volume Visualization

Hybrid Ray Tracing and Path Tracing of Bezier Surfaces Using A Mixed Hierarchy

Interactive Bi-scale Editing of Highly Glossy Materials

Recent source codes

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

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