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Optimal structure of face detection algorithm using GPU architecture

Dmitry Pertsau

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 460

October 16, 2012 by hgpu

High-Performance Computing Algorithms for Constructing Inverted Files on Emerging Multicore Processors

Zheng Wei

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Information Retrieval, List ranking, nVidia, nVidia GeForce GTX 480, Tesla C1060, Tesla C2050, Thesis

October 16, 2012 by hgpu

Particle Filters on Multi-Core Processors

Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamas Keviczky, Henk J. Sips

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Tags: ATI, ATI Radeon HD 6970, Bayesian, Computer science, Computer vision, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Particle filtering

October 16, 2012 by hgpu

CUDA Based Multi Objective Parallel Genetic Algorithms: Adapting Evolutionary Algorithms for Document Searches

Jason P. Duran, Sathish AP Kumar

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Text mining

October 15, 2012 by hgpu

Iterative Krylov solution methods for geophysical electromagnetic simulations on throughput-oriented processing units

Michael Commer, Filipe R. N. C. Maia, Gregory A. Newman

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Tags: CUDA, Earth and Space Sciences, Electrostatics, Finite difference, Geoscience, nVidia, Tesla C2050

October 15, 2012 by hgpu

Graphics Processing Unit based searching the critical slip surface of slopes by the Vector Sum Analysis Method

Liu Shaobo, Wang Chuanying, Han Zengqiang

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 580

October 14, 2012 by hgpu

Real-Time Use of GPUs in NA62 Experiment

Gianmaria Collazuol, Vincenzo Innocente, Felice Pantaleo, Marco Sozzi

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Tags: CUDA, Data acquisition, nVidia, nVidia GeForce GTX 680, Pattern recognition, Physics, Tesla C2050

October 14, 2012 by hgpu

Exploiting Data Parallelism in GPUs

Yongpeng Zhang

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Tags: Clustering, Computer science, CUDA, Data parallelism, GPU cluster, MPI, nVidia, nVidia GeForce GTX 280, Thesis

October 14, 2012 by hgpu

Lattice Group Models: GPU Acceleration and Numerics

Stefan Brechtken

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Tags: Boltzmann equation, CUDA, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 580, Optimization

October 14, 2012 by hgpu

Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units

Ion Lungu, Dana-Mihaela Petrosanu, Alexandru Pirjan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Optimization, Performance

October 14, 2012 by hgpu

Scalable GPU Acceleration of B-Spline Signal Processing Operations

Alexander Karantza

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Tags: CUDA, nVidia, Signal processing, Tesla C2070, Thesis

October 13, 2012 by hgpu

Fast Parallel Implementation of Fractional Packing and Covering Linear Programs

Slobodan Jelic, Soren Laue, Domagoj Matijevic, Patrick Wijerama

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Tags: Algorithms, CUDA, Mathematics, nVidia, Tesla C2070

October 13, 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

Optimal structure of face detection algorithm using GPU architecture

Particle Filters on Multi-Core Processors

CUDA Based Multi Objective Parallel Genetic Algorithms: Adapting Evolutionary Algorithms for Document Searches

Iterative Krylov solution methods for geophysical electromagnetic simulations on throughput-oriented processing units

Graphics Processing Unit based searching the critical slip surface of slopes by the Vector Sum Analysis Method

Real-Time Use of GPUs in NA62 Experiment

Exploiting Data Parallelism in GPUs

Lattice Group Models: GPU Acceleration and Numerics

Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units

Scalable GPU Acceleration of B-Spline Signal Processing Operations

Fast Parallel Implementation of Fractional Packing and Covering Linear Programs

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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