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Skeleton and Shape Adjustment and Tracking in Multicamera Environments

Marcel Alcoverro, Josep Ramon Casas and Montse Pardas

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Tags: Computer science, Video tracking

November 20, 2010 by hgpu

Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs

K. Hawick, A. Leist, D. Playne

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Tags: CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Physics

November 20, 2010 by hgpu

An instruction-systolic programmable shader architecture for multi-threaded 3D graphics processing

Jung-Wook Park, Hoon-Mo Yang, Gi-Ho Park, Shin-Dug Kim, Charles C. Weems

Tags: Algorithms, Computer science, Hardware, Optimization

November 20, 2010 by hgpu

A middleware for efficient stream processing in CUDA

Shinta Nakagawa, Fumihiko Ino, Kenichi Hagihara

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization

November 20, 2010 by hgpu

Simulating a P system based efficient solution to SAT by using GPUs

Jose M. Cecilia, Jose M. Garcia, Gines D. Guerrero, Miguel A. Martinez-del-Amor, Ignacio Perez-Hurtado, Mario J. Perez-Jimenez

Tags: Computer science, Membrane computing, P systems, SAT

November 20, 2010 by hgpu

Simulation of one-layer shallow water systems on multicore and CUDA architectures

Marc de la Asuncion, Jose Mantas, Manuel Castro

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Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, OpenMP

November 20, 2010 by hgpu

Fast sort on CPUs and GPUs: a case for bandwidth oblivious SIMD sort

Nadathur Satish, Changkyu Kim, Jatin Chhugani, Anthony D. Nguyen, Victor W. Lee, Daehyun Kim, Pradeep Dubey

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Tags: Algorithms, Computer science, Databases, Sorting

November 20, 2010 by hgpu

SBLOCK: A Framework for Efficient Stencil-Based PDE Solvers on Multi-core Platforms

Tobias Brandvik, Graham Pullan

Tags: Computer science, CUDA, nVidia, Partial differential equations, PDEs

November 20, 2010 by hgpu

Active Structured Learning for High-Speed Object Detection

Christoph H. Lampert, Jan Peters

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Video tracking

November 19, 2010 by hgpu

PantaRay: fast ray-traced occlusion caching of massive scenes

Jacopo Pantaleoni, Luca Fascione, Martin Hill, Timo Aila

Tags: 3D Graphics and Realism, Computer science, nVidia, Raytracing

November 19, 2010 by hgpu

Parallel option pricing with Fourier space time-stepping method on graphics processing units

Vladimir Surkov

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Tags: Algorithms, FFT, Finance

November 19, 2010 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

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high performance computing on graphics processing units: hgpu.org

Applications

Skeleton and Shape Adjustment and Tracking in Multicamera Environments

Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs

An instruction-systolic programmable shader architecture for multi-threaded 3D graphics processing

A middleware for efficient stream processing in CUDA

Simulating a P system based efficient solution to SAT by using GPUs

Simulation of one-layer shallow water systems on multicore and CUDA architectures

Fast sort on CPUs and GPUs: a case for bandwidth oblivious SIMD sort

SBLOCK: A Framework for Efficient Stencil-Based PDE Solvers on Multi-core Platforms

Active Structured Learning for High-Speed Object Detection

PantaRay: fast ray-traced occlusion caching of massive scenes

Parallel option pricing with Fourier space time-stepping method on graphics processing units

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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