high performance computing on graphics processing units: hgpu.org

hgpu.org » Rendering

Batched Multi Triangulation

Paolo Cignoni, Fabio Ganovelli, Enrico Gobbetti, Fabio Marton

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Tags: Computer science, nVidia, nVidia GeForce 6800 GT, nVidia GeForce FX 5800 Ultra, nVidia GeForce FX 5950 Ultra, Rendering

January 31, 2011 by hgpu

Simulation and visualization of the Saint-Venant system using GPUs

Andre Brodtkorb, Trond Hagen, Knut-Andreas Lie, Jostein Natvig

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Rendering, Visualization

January 31, 2011 by hgpu

Efficient image reconstruction for point-based and line-based rendering

Ricardo Marroquim, Martin Kraus, Paulo Roma Cavalcanti

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Tags: Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering

January 30, 2011 by hgpu

Geometry Construction from Caustic Images

Manuel Finckh, Holger Dammertz, and Hendrik P. A. Lensch

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Rendering

January 27, 2011 by hgpu

Visualization with stylized line primitives

Carsten Stoll, Stefan Gumhold, Hans-Peter Seidel

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce FX 5900, OpenGL, Rendering, Visualization

January 27, 2011 by hgpu

Analytic Antialiasing for Selective High Fidelity Rendering

Peter Longhurst, Kurt Debattista, Richard Gillibrand, Alan Chalmers

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Tags: Cg, Computer science, nVidia, nVidia GeForce 6600 GT, OpenGL, Rendering

January 27, 2011 by hgpu

Real-Time Shadow Volume Algorithm for Subdivision Surface Based Models

Min Tang, Jinxiang Dong, Shang-Ching Chou

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Source codes

Tags: Algorithms, Cg, Computer science, nVidia, nVidia GeForce 6800, OpenGL, Package, Real-time graphics, Rendering

January 27, 2011 by hgpu

GPU Accelerated Computation and Visualization of Hexagonal Cellular Automata

Stephane Gobron, Herve Bonafos and Daniel Mestre

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Tags: Cellular automata, Computer science, Genetic programming, GLSL, nVidia, nVidia GeForce 7600 GT, nVidia GeForce 7900 M GTX, nVidia GeForce 8600 GS, nVidia GeForce 8800 GTX, nVidia Quadro FX 3500, OpenGL, Real-time graphics, Rendering

January 23, 2011 by hgpu

Practical and Robust Stenciled Shadow Volumes for Hardware-Accelerated Rendering

Cass Everitt, Mark J. Kilgard

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

January 20, 2011 by hgpu

Piecewise Tri-linear Contouring for Multi-material Volumes

Powei Feng, Tao Ju, Joe D. Warren

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Tags: Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, OpenMP, Rendering

January 15, 2011 by hgpu

Real-Time Rendering and Editing of Vector-based Terrains

Eric Bruneton, Fabrice Neyret

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Real-time graphics, Rendering

January 14, 2011 by hgpu

Dynamic Sampling and Rendering of Algebraic Point Set Surfaces

Gael Guennebaud, Marcel Germann, Markus H. Gross

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

January 14, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Batched Multi Triangulation

Simulation and visualization of the Saint-Venant system using GPUs

Efficient image reconstruction for point-based and line-based rendering

Geometry Construction from Caustic Images

Visualization with stylized line primitives

Analytic Antialiasing for Selective High Fidelity Rendering

Real-Time Shadow Volume Algorithm for Subdivision Surface Based Models

GPU Accelerated Computation and Visualization of Hexagonal Cellular Automata

Practical and Robust Stenciled Shadow Volumes for Hardware-Accelerated Rendering

Piecewise Tri-linear Contouring for Multi-material Volumes

Real-Time Rendering and Editing of Vector-based Terrains

Dynamic Sampling and Rendering of Algebraic Point Set Surfaces

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

Most viewed papers (last 30 days)