Algorithms | Page 275

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Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space (thesis)

Ophir Setter

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Tags: Algorithms, Computer science, Distance transform, Voronoi diagram

March 22, 2011 by hgpu

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space

Ophir Setter, Micha Sharir, Dan Halperin

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Tags: Algorithms, Computer science, Distance transform, Voronoi diagram

March 22, 2011 by hgpu

fastHOG – a real-time GPU implementation of HOG

Victor A. Prisacariu, Ian Reid

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Source codes

Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 285, Package

March 22, 2011 by hgpu

An evaluation of GPU acceleration for sparse reconstruction

Thomas R. Braun

Tags: Algorithms, Filtering, Image processing, Image recognition

March 21, 2011 by hgpu

High-quality Real-time Stereo using Adaptive Cost Aggregation and Dynamic Programming

Liang Wang, Miao Liao, Minglun Gong, Ruigang Yang, David Nister

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Tags: Algorithms, ATI, ATI Radeon X1800, Computer science, Computer vision

March 21, 2011 by hgpu

Stereovision On GPU

Ruigang Yang, Liang Wang, Greg Welch, Marc Pollefeys

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Tags: Algorithms, ATI, ATI Radeon X1800, Computer science, Computer vision

March 21, 2011 by hgpu

Real-time Stochastic Rasterization on Conventional GPU Architectures

M McGuire, E Enderton, P Shirley, D Luebke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce GTX 280, OpenGL

March 20, 2011 by hgpu

GPU-based Dynamic Tubular Grids for Sparse Volume Rendering

David Mayerich, John Keyser

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Tags: Algorithms, Computer science, Image processing, Rendering

March 20, 2011 by hgpu

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

Tamas K. Lengyel, James Gedarovich, Antonio Cusano, Thomas J. Peters

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9800 GT

March 20, 2011 by hgpu

A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation

David Barrie Thomas, Lee Howes, Wayne Luk

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Pseudo-random number generators

March 20, 2011 by hgpu

Mersenne Twister Random Number Generation on FPGA, CPU and GPU

Xiang Tian, Khaled Benkrid

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Pseudo-random number generators

March 20, 2011 by hgpu

Mean Shift Parallel Tracking on GPU

Peihua Li, Lijuan Xiao

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Video tracking

March 19, 2011 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space (thesis)

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space

fastHOG – a real-time GPU implementation of HOG

An evaluation of GPU acceleration for sparse reconstruction

High-quality Real-time Stereo using Adaptive Cost Aggregation and Dynamic Programming

Stereovision On GPU

Real-time Stochastic Rasterization on Conventional GPU Architectures

GPU-based Dynamic Tubular Grids for Sparse Volume Rendering

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation

Mersenne Twister Random Number Generation on FPGA, CPU and GPU

Mean Shift Parallel Tracking on GPU

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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