high performance computing on graphics processing units: hgpu.org

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Hardware-Assisted Projected Tetrahedra

Andre Maximo, Ricardo Marroquim, Ricardo Farias

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Tags: Computer science, CUDA, Image generation, nVidia, nVidia GeForce 8800 GTX, Rendering, Sorting

January 13, 2011 by hgpu

Adaptive sampling in three dimensions for volume rendering on GPUs

Martin Kraus, Magnus Strengert, Thomas Klein, Thomas Ertl

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 7800 GTX, OpenGL, Rendering, Visualization

January 13, 2011 by hgpu

GPU-Based 3D Texture Advection for the Visualization of Unsteady Flow Fields

Daniel Weiskopf, Thomas Ertl

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Tags: ATI, ATI Radeon 9700, ATI Radeon 9800 Pro, Computer science, Fluid simulation, nVidia, OpenGL, Rendering, Visualization

January 13, 2011 by hgpu

High-Quality Rendering of Varying Isosurfaces with Cubic Trivariate C1-Continuous Splines

Thomas Kalbe, Thomas Koch, Michael Goesele

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

January 12, 2011 by hgpu

Interactive Volume Rendering of Functional Representations in Quantum Chemistry

Yun Jang and Ugo Varetto

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Tags: Cg, Chemistry, Molecular modeling, nVidia, nVidia GeForce GTX 260, Rendering

January 11, 2011 by hgpu

Transform Coding for Hardware-accelerated Volume Rendering

Nathaniel Fout, Kwan-Liu Ma

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Tags: Computer science, nVidia, nVidia GeForce 8800 GTX, Real-time graphics, Rendering

January 11, 2011 by hgpu

Techniques for efficient, real-time, 3D visualization of multi-modality cardiac data using consumer graphics hardware

David Levin, Usaf Aladl, Guido Germano, Piotr Slomka

Tags: ATI, ATI Radeon 9700 Pro, Computed tomography, CT, Image processing, Medicine, MRI, Rendering, Visualization

January 8, 2011 by hgpu

Low latency photon mapping using block hashing

Vincent C. H. Ma, Michael D. Mccool

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Tags: Algorithms, Computer science, Hashing, Rendering

January 7, 2011 by hgpu

Hardware-accelerated parallel non-photorealistic volume rendering

Eric B. Lum, Kwan-Liu Ma

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Tags: Computer science, nVidia, nVidia GeForce 3, Rendering, Visualization

January 6, 2011 by hgpu

Interactive volume illustration

Z. Nagy, J. Schneider, R. Westermann

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

January 6, 2011 by hgpu

Real-Time Rendering of Point Based Water Surfaces

Kei Iwasaki, Yoshinori Dobashi, Fujiichi Yoshimoto, Tomoyuki Nishita

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Tags: Computer science, Fluid simulation, nVidia, nVidia GeForce 6800 GT, Particle simulation, Rendering

January 3, 2011 by hgpu

Multiresolution MIP Rendering of Large Volumetric Data Accelerated on Graphics Hardware

Wladimir J. van der Laan, Andrei Jalba, Jos B. T. M. Roerdink

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Rendering, Visualization

January 2, 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

Hardware-Assisted Projected Tetrahedra

Adaptive sampling in three dimensions for volume rendering on GPUs

GPU-Based 3D Texture Advection for the Visualization of Unsteady Flow Fields

High-Quality Rendering of Varying Isosurfaces with Cubic Trivariate C1-Continuous Splines

Interactive Volume Rendering of Functional Representations in Quantum Chemistry

Transform Coding for Hardware-accelerated Volume Rendering

Techniques for efficient, real-time, 3D visualization of multi-modality cardiac data using consumer graphics hardware

Low latency photon mapping using block hashing

Hardware-accelerated parallel non-photorealistic volume rendering

Interactive volume illustration

Real-Time Rendering of Point Based Water Surfaces

Multiresolution MIP Rendering of Large Volumetric Data Accelerated on Graphics Hardware

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)