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Crack-free rendering of dynamically tesselated B-Rep models

Frederic Claux, Loic Barthe, David Vanderhaeghe, Jean-Pierre Jessel, Mathias Paulin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Dynamic surface, Image generation, nVidia, nVidia GeForce GTX 780, Rendering, Shaders

January 5, 2014 by hgpu

A Push-Relabel-Based Maximum Cardinality Bipartite Matching Algorithm on GPUs

Mehmet Deveci, Kamer Kaya, Bora Ucar, Umit V. Catalyurek

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, Graph theory, nVidia, Search, Tesla C2050

January 5, 2014 by hgpu

Parallel Irradiance Caching on the GPU

Nathaniel L. Jones

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Tags: Computer science, CUDA, nVidia, nVidia Quadro K4000, OptiX, Package, Raytracing

January 5, 2014 by hgpu

Multiple Bounding Boxes Algorithm in Collision Detection and Its Performances in Sequential vs CUDA Parallel Processing

Min Qi

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, Tesla C2070, Thesis

January 5, 2014 by hgpu

A GPU-based real time trigger for rare kaon decays at NA62

Elena Graverini

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Tags: Algorithms, CUDA, High Energy Physics - Experiment, nVidia, Pattern recognition, Physics, Tesla K20, Thesis

January 3, 2014 by hgpu

Wavelet Encoding and Multi-GPU Programming

Andre Kessler

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Tags: Compression, CUDA, Image processing, nVidia, Tesla K20, Wavelet

January 3, 2014 by hgpu

Adhoc On-Demand Distance Vector Protocol For Energy Efficiency

Abhilash C S, Abhishek Varshney, Dilip S, Navik Yogesh Laljibhai, Pradyot H Adavi

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 480, Security

January 3, 2014 by hgpu

Accelerating Simulation Codes through the GeMTC Framework

Digvijay Singh Gahlot, Scott Krieder, Ioan Raicu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Performance

January 3, 2014 by hgpu

Nemo: A parallelized Lagrangian particle-tracking model

Benjamin Jones

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Tags: CUDA, Earth and Space Sciences, Fortran, MPI, nVidia, nVidia GeForce GTX 650 M, Package

January 3, 2014 by hgpu

Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer’s Disease

Denis P. Shamonin, Esther E. Bron, Boudewijn P. Lelieveldt, Marion Smits, Stefan Klein, Marius Staring

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Tags: Bioinformatics, Image processing, Image registration, Medicine, MRI, Neuroscience, nVidia, nVidia GeForce GTX 480, OpenCL

January 2, 2014 by hgpu

Interactive Ray-tracing Based on OptiX to Visualize Signed Distance Fields

Taejung Park, Yangmi Lim

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, OpenGL, OptiX, Raytracing, Triangular meshes

January 2, 2014 by hgpu

A Unified Rolling Shutter and Motion Blur Model for 3D Visual Registration

Maxime Meilland, Tom Drummond, Andrew I. Comport

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Tags: Computer vision, Image processing, nVidia, nVidia GeForce GTX 670, OpenCL

January 2, 2014 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

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

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

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high performance computing on graphics processing units: hgpu.org

Applications

Crack-free rendering of dynamically tesselated B-Rep models

A Push-Relabel-Based Maximum Cardinality Bipartite Matching Algorithm on GPUs

Parallel Irradiance Caching on the GPU

Multiple Bounding Boxes Algorithm in Collision Detection and Its Performances in Sequential vs CUDA Parallel Processing

A GPU-based real time trigger for rare kaon decays at NA62

Wavelet Encoding and Multi-GPU Programming

Adhoc On-Demand Distance Vector Protocol For Energy Efficiency

Accelerating Simulation Codes through the GeMTC Framework

Nemo: A parallelized Lagrangian particle-tracking model

Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer’s Disease

Interactive Ray-tracing Based on OptiX to Visualize Signed Distance Fields

A Unified Rolling Shutter and Motion Blur Model for 3D Visual Registration

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

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

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

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

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

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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