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Real-time mesh simplification using the GPU

Christopher Decoro, Natalya Tatarchuk

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Tags: ATI, Computer science, Mesh decimation, Mesh simplification, Rendering

October 27, 2010 by hgpu

Cache and bandwidth aware matrix multiplication on the GPU

J. Hall, N. Carr, J. Hart

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Tags: Algorithms, Computer science, Linear Algebra, Performance

October 27, 2010 by hgpu

The FFT on a GPU

Kenneth Moreland, Edward Angel

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Tags: Computer science, Computer vision, FFT, Image processing

October 27, 2010 by hgpu

MinGPU: a minimum GPU library for computer vision

Pavel Babenko, Mubarak Shah

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Source codes

Tags: Computer science, Computer vision, Homography transformation, nVidia, OpenGL, Package

October 27, 2010 by hgpu

Oct-tree Method on GPU

N. Nakasato

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Tags: Astrophysics, ATI, ATI IL, ATI Stream, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, RV770

October 27, 2010 by hgpu

GPU-based intrinsic collision detection for deformable surfaces

Wingo S. Wong, George Baciu

Tags: Collision detection, Computer science, Triangular meshes

October 27, 2010 by hgpu

Scan primitives for GPU computing

Shubhabrata Sengupta, Mark Harris, Yao Zhang, John D. Owens

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Programming techniques, Sorting

October 27, 2010 by hgpu

A simple GPU-based approach for 3D Voronoi diagram construction and visualization

H. Hsieh, W. Tai

Tags: Computer science, Distance transform, Visualization, Voronoi diagram, Voxelization

October 27, 2010 by hgpu

On GPU’s viability as a middleware accelerator

Samer A. Kiswany, Abdullah Gharaibeh, Elizeu S. Neto, Matei Ripeanu

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Source codes

Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, Package, Storage system

October 27, 2010 by hgpu

Solving the Boltzmann Equation on GPU

Aldo Frezzotti, Gian P. Ghiroldi, Livio Gibelli

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 260

October 27, 2010 by hgpu

Fast calculation of HELAS amplitudes using graphics processing unit (GPU)

K. Hagiwara, J. Kanzaki, N. Okamura, D. Rainwater, T. Stelzer

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Tags: Computational Physics, CUDA, High Energy Physics - Experiment, High Energy Physics - Phenomenology, nVidia, nVidia GeForce 8800 M GTS, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280, Physics

October 27, 2010 by hgpu

Lattice Boltzmann based PDE solver on the GPU

Ye Zhao

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Tags: Computer science, CUDA, Fluid dynamics, Laplace and Poisson equation, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX

October 27, 2010 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

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Real-time mesh simplification using the GPU

Cache and bandwidth aware matrix multiplication on the GPU

The FFT on a GPU

MinGPU: a minimum GPU library for computer vision

Oct-tree Method on GPU

GPU-based intrinsic collision detection for deformable surfaces

Scan primitives for GPU computing

A simple GPU-based approach for 3D Voronoi diagram construction and visualization

On GPU’s viability as a middleware accelerator

Solving the Boltzmann Equation on GPU

Fast calculation of HELAS amplitudes using graphics processing unit (GPU)

Lattice Boltzmann based PDE solver on the GPU

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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