high performance computing on graphics processing units: hgpu.org

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High-Quality Point-Based Rendering on Modern GPUs

Mario Botsch, Leif Kobbelt

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Tags: Computer science, Filtering, nVidia, nVidia GeForce FX 5800 Ultra, OpenGL, Rendering

February 7, 2011 by hgpu

A New Data Layout For Set Intersection on GPUs

Rasmus Resen Amossen, Rasmus Pagh

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Tags: Computer science, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 285, OpenCL, PyOpenCL

February 7, 2011 by hgpu

Real-time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid

Christian Richardt, Douglas Orr, Ian Davies, Antonio Criminisi and Neil A. Dodgson

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia Quadro FX 5800, Package

February 7, 2011 by hgpu

Rendering Forest Scenes in Real-Time

Philippe Decaudin, Fabrice Neyret

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce FX 5800 Ultra, OpenGL, Rendering

February 7, 2011 by hgpu

Automatically translating a general purpose C++ image processing library for GPUs

Jay L. T. Cornwall, Olav Beckmann, Paul H. J. Kelly

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Tags: Compilers, Computer science, GLSL, High-level Languages, nVidia, nVidia GeForce 7800 GTX, OpenGL

February 6, 2011 by hgpu

Explicit Control of Vector Field Based Shape Deformations

Wolfram von Funck, Holger Theisel, Hans-Peter Seidel

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 7800 GTX, Shaders

February 6, 2011 by hgpu

GPU-accelerated real-time 3D tracking for humanoid locomotion and stair climbing

Philipp Michel, Joel E. Chestnutt, Satoshi Kagami, Koichi Nishiwaki, James Kuffner, Takeo Kanade

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Tags: Cg, Computer science, Computer vision, nVidia, nVidia GeForce 7800 GTX, Video tracking

February 6, 2011 by hgpu

GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme

Ye Zhao

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Tags: Filtering, Image processing, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, OpenGL

February 6, 2011 by hgpu

Financial modeling on the cell broadband engine

Virat Agarwal, Lurng-Kuo Liu, David A. Bader

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Tags: Cell processor, CUDA, Finance, Monte Carlo simulation, nVidia, nVidia GeForce 8800, RapidMind

February 6, 2011 by hgpu

XMT-GPU: A PRAM Architecture for Graphics Computation

Thomas M. DuBois, Bryant Lee, Yi Wang, Marc Olano, Uzi Vishkin

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Tags: Algorithms, ATI, ATI Radeon X700 Pro, Computer science, nVidia, nVidia GeForce 7900 GTX, nVidia GeForce 8800 GTX, OpenGL, Programming techniques

February 6, 2011 by hgpu

Evaluating multi-core platforms for HPC data-intensive kernels

Alexander S. van Amesfoort, Ana Lucia Varbanescu, Henk J. Sips, Rob V. van Nieuwpoort

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Tags: Algorithms, Cell processor, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Programming techniques, Tesla C1060

February 6, 2011 by hgpu

Focused Volumetric Visual Hull with Color Extraction

Daniel Knoblauch, Falko Kuester

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Tags: Algorithms, Computer science, CUDA, Image reconstruction, nVidia, nVidia GeForce 8800 GTX

February 6, 2011 by hgpu

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

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

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high performance computing on graphics processing units: hgpu.org

High-Quality Point-Based Rendering on Modern GPUs

A New Data Layout For Set Intersection on GPUs

Real-time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid

Rendering Forest Scenes in Real-Time

Automatically translating a general purpose C++ image processing library for GPUs

Explicit Control of Vector Field Based Shape Deformations

GPU-accelerated real-time 3D tracking for humanoid locomotion and stair climbing

GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme

Financial modeling on the cell broadband engine

XMT-GPU: A PRAM Architecture for Graphics Computation

Evaluating multi-core platforms for HPC data-intensive kernels

Focused Volumetric Visual Hull with Color Extraction

Recent source codes

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

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

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