high performance computing on graphics processing units: hgpu.org

hgpu.org » 3D Graphics and Realism

Tileable BTF

Man-Kang Leung, Wai-Man Pang, Chi-Wing Fu, Tien-Tsin Wong, Pheng-Ann Heng

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Tags: 3D Graphics and Realism, Computer science, Image generation, Rendering

August 16, 2011 by hgpu

Automatic Multi-Camera Setup Optimization for Optical Tracking

Philippe A. Cerfontaine, Marc Schirski, Daniel Bundgens, Torsten Kuhlen

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Optimization, Video tracking, Virtual reality

August 16, 2011 by hgpu

Equalizer: A Scalable Parallel Rendering Framework

Stefan Eilemann, Maxim Makhinya, Renato Pajarola

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Tags: 3D Graphics and Realism, Computer science, GPU cluster, nVidia, nVidia GeForce 7800 GTX, nVidia Quadro FX 4500, OpenGL, Package, Rendering, Visualization

August 15, 2011 by hgpu

Volumetric Ambient Occlusion

Laszlo Szirmay-Kalos, Tamas Umenhoffer, Balazs Toth, Laszlo Szecsi, Mateu Sbert

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

August 15, 2011 by hgpu

Swept Volume approximation of polygon soups

Jesse C. Himmelstein, Etienne Ferre, Jean-Paul Laumond

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia Quadro FX 500, Sorting

August 12, 2011 by hgpu

Precomputed Visibility Cuts for Interactive Relighting with Dynamic BRDFs

Oskar Akerlund, Mattias Unger, Rui Wang

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL

August 11, 2011 by hgpu

Particle and texture based spatiotemporal visualization of time-dependent vector fields

Daniel Weiskopf, Frederik Schramm, Gordon Erlebacher, Thomas Ertl

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Tags: 3D Graphics and Realism, Computer science, DirectX, Image generation, nVidia, nVidia GeForce 6800 Ultra, Particle-in-cell methods, Visualization

August 11, 2011 by hgpu

Predictive Lazy Amplification: Synthesis and Rendering of Massive Procedural Scenes in Real Time

Carlucio Santos Cordeiro, Luiz Chaimowicz

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 280, OpenGL, Package, Real-time graphics, Rendering, Visualization

August 11, 2011 by hgpu

INSPIRE: an interactive image assisted non-photorealistic rendering system

Minh X. Nguyen, Hui Xu, Xiaoru Yuan, Baoquan Chen

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 4, OpenGL, Rendering

August 11, 2011 by hgpu

Rain Scene Animation through Particle Systems and Surface Flow Simulation by SPH

Bruno Barcellos Coutinho, Antonio A. F. Oliveira, Yalmar Ponce Atencio, Gilson Antonio Giraldi

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid simulation, nVidia, nVidia GeForce 9800 GTX, OpenGL, Particle simulation, Rendering

August 11, 2011 by hgpu

Real-time continuum grass

Kan Chen, Henry Johan

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Tags: 3D Graphics and Realism, Algorithms, ATI, ATI Radeon HD 4850, Computer science, DirectX, nVidia, nVidia GeForce 8600 GTS, Virtual reality

August 10, 2011 by hgpu

A simple and flexible volume rendering framework for graphics-hardware-based raycasting

Simon Stegmaier, Magnus Strengert, Thomas Klein, Thomas Ertl

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Tags: 3D Graphics and Realism, Benchmarking, Computer science, Image generation, nVidia, nVidia GeForce 6800 GT, OpenGL, Package, Raytracing, Rendering

August 7, 2011 by hgpu

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

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

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high performance computing on graphics processing units: hgpu.org

Tileable BTF

Automatic Multi-Camera Setup Optimization for Optical Tracking

Equalizer: A Scalable Parallel Rendering Framework

Volumetric Ambient Occlusion

Swept Volume approximation of polygon soups

Precomputed Visibility Cuts for Interactive Relighting with Dynamic BRDFs

Particle and texture based spatiotemporal visualization of time-dependent vector fields

Predictive Lazy Amplification: Synthesis and Rendering of Massive Procedural Scenes in Real Time

INSPIRE: an interactive image assisted non-photorealistic rendering system

Rain Scene Animation through Particle Systems and Surface Flow Simulation by SPH

Real-time continuum grass

A simple and flexible volume rendering framework for graphics-hardware-based raycasting

Recent source codes

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

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

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