high performance computing on graphics processing units: hgpu.org

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A framework for GPU-based application-independent 3D interactions

Harlen Batagelo, Shin-Ting Wu

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Tags: 3D Graphics and Realism, Computer science, Image processing, nVidia, nVidia GeForce 8800 GTX, OpenGL

December 9, 2010 by hgpu

High-Quality Rendering of Quartic Spline Surfaces on the GPU

G. Reis, F. Zeilfelder, M. Hering-Bertram, G. E. Farin, H. Hagen

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Tags: Computer science, nVidia, nVidia GeForce 6800, nVidia GeForce 8800 GTX, OpenGL, Raytracing, Rendering

December 9, 2010 by hgpu

A Resource Selection System for Cycle Stealing in GPU Grids

Y. Kotani, F. Ino, K. Hagihara

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Tags: Computer science, Grid, nVidia, nVidia GeForce 6800 GTO, nVidia GeForce 7800 GTX, nVidia GeForce 8800 GTX

December 9, 2010 by hgpu

FPGA-GPU architecture for kernel SVM pedestrian detection

Sebastian Bauer, Sebastian Kohler, Konrad Doll, Ulrich Brunsmann

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Tags: Computer vision, FPGA, Image processing, nVidia, nVidia GeForce GTX 295

December 9, 2010 by hgpu

GPU-based rendering of point-sampled water surfaces

Kei Iwasaki, Yoshinori Dobashi, Fujiichi Yoshimoto, Tomoyuki Nishita

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Tags: Computer science, Fluid simulation, nVidia, nVidia GeForce 7900 GTX, Real-time graphics, Rendering

December 8, 2010 by hgpu

Exploiting the Power of GPUs for Asymmetric Cryptography

Robert Szerwinski, Tim Guneysu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Security

December 8, 2010 by hgpu

Pathological image segmentation for neuroblastoma using the GPU

A. Ruiz, Jun Kong, M. Ujaldon, K. Boyer, J. Saltz, M. Gurcan

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX

December 8, 2010 by hgpu

Fast and exact solution of Total Variation models on the GPU

T. Pock, M. Unger, D. Cremers, H. Bischof

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

December 8, 2010 by hgpu

SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit

R. D. Prabhu

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Tags: Computer science, DirectX, Neural networks, nVidia, nVidia GeForce 6150, Self-organizing map

December 8, 2010 by hgpu

GPU based extraction of moving objects without shadows under intensity changes

Shinji Fukui, Yuji Iwahori, Robert J. Woodham

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Tags: Algorithms, DirectX, HLSL, Image processing, nVidia, nVidia GeForce 8800 GTX

December 8, 2010 by hgpu

Fast Deformable Registration on the GPU: A CUDA Implementation of Demons

P. Muyan-Ozcelik, J. D. Owens, Junyi Xia, S. S. Samant

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Tags: Computed tomography, CT, CUDA, Image processing, Image registration, nVidia, nVidia Quadro FX 5600

December 8, 2010 by hgpu

Overview of implementation of DARPA GPU program in SAIC

Dennis Braunreiter, Jeremy Furtek, Hai W. Chen, Dennis Healy

Tags: ATI, nVidia, Optics, Physics, Review

December 8, 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

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high performance computing on graphics processing units: hgpu.org

A framework for GPU-based application-independent 3D interactions

High-Quality Rendering of Quartic Spline Surfaces on the GPU

A Resource Selection System for Cycle Stealing in GPU Grids

FPGA-GPU architecture for kernel SVM pedestrian detection

GPU-based rendering of point-sampled water surfaces

Exploiting the Power of GPUs for Asymmetric Cryptography

Pathological image segmentation for neuroblastoma using the GPU

Fast and exact solution of Total Variation models on the GPU

SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit

GPU based extraction of moving objects without shadows under intensity changes

Fast Deformable Registration on the GPU: A CUDA Implementation of Demons

Overview of implementation of DARPA GPU program in SAIC

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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