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Abundance Estimation Algorithms using NVIDIA CUDA Technology

David Gonzalez, Christian Sanchez, Ricardo Veguilla, Nayda G. Santiago, Samuel Rosario-Torres, Miguel Velez-Reyes

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

January 5, 2012 by hgpu

Efficient mapping of the training of Convolutional Neural Networks to a CUDA-based cluster

Jonatan Ward, Sergey Andreev, Francisco Heredia, Bogdan Lazar, Zlatka Manevska

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Tags: Algorithms, CNN, Computer science, CUDA, GPU cluster, Neural networks, nVidia, nVidia GeForce GTX 570, Performance

January 4, 2012 by hgpu

Implementing Parallel SMO to Train SVM on CUDA-Enabled Systems

Zhong Chen, Jack Chua

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla M2090

January 4, 2012 by hgpu

Toward Real-Time Dense 3d Reconstruction using Stereo Vision

Jim Braux-Zin

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Tags: Algorithms, Augmented reality, Computer science, CUDA, nVidia, nVidia Quadro FX 3700, Optimization, Stereo vision

January 4, 2012 by hgpu

Analysis of Real-Time Stereo Vision Algorithms On GPU

Ratheesh Kalarot, John Morris, David Berry, James Dunning

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 480, Stereo vision

January 4, 2012 by hgpu

Parallel Implementation of Compressive Sensing Based SAR Imaging with GPU

Tian Jihua, Sun Jinping, Zhang Yuxi, Najeeb Ahmad, Zhang Bingchen

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, Sensing, Tesla C1060

January 4, 2012 by hgpu

Evaluating polynomials in several variables and their derivatives on a GPU computing processor

Jan Verschelde, Genady Yoffe

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, Tesla C2050

January 4, 2012 by hgpu

Thermal and Athermal Swarms of Self-Propelled Particles

Nguyen Nguyen, Eric Jankowski, Sharon C. Glotzer

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Tags: Computational Physics, Condensed matter, CUDA, nVidia, Package, Physics, Probability, Soft Condensed Matter, Tesla S1070

January 4, 2012 by hgpu

Building Source-to-Source Compilers for Heterogeneous Targets

Serge Guelton

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Tags: Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia Quadro FX 2700 M, Thesis

January 4, 2012 by hgpu

Parallel Implementation Algorithm of Motion Estimation for GPU Applications

Tian Song, Masashi Koshino, Yuya Matsunohana, Takashi Shimamoto

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 285

January 4, 2012 by hgpu

Efficient and Good Delaunay Meshes From Random Points

Mohamed S. Ebeida, Scott A. Mitchell, Andrew A. Davidson, Anjul Patney, Patrick M. Knupp, John D. Owens

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Probability, Rendering, Triangular meshes

January 4, 2012 by hgpu

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Mayank Daga, Thomas Scogland, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Performance

January 3, 2012 by hgpu

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

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high performance computing on graphics processing units: hgpu.org

Programming

Abundance Estimation Algorithms using NVIDIA CUDA Technology

Efficient mapping of the training of Convolutional Neural Networks to a CUDA-based cluster

Implementing Parallel SMO to Train SVM on CUDA-Enabled Systems

Toward Real-Time Dense 3d Reconstruction using Stereo Vision

Analysis of Real-Time Stereo Vision Algorithms On GPU

Parallel Implementation of Compressive Sensing Based SAR Imaging with GPU

Evaluating polynomials in several variables and their derivatives on a GPU computing processor

Thermal and Athermal Swarms of Self-Propelled Particles

Building Source-to-Source Compilers for Heterogeneous Targets

Parallel Implementation Algorithm of Motion Estimation for GPU Applications

Efficient and Good Delaunay Meshes From Random Points

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Recent source codes

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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