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Improved Real-Time Stereo on Commodity Graphics Hardware

Ruigang Yang, Marc Pollefeys, Sifang Li

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Tags: ATI, ATI Radeon 9800, Computer science, Computer vision, OpenGL, Real-time graphics, Stereo vision

July 12, 2011 by hgpu

Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general-purpose computing on graphics processing units

Jun Igarashi, Osamu Shouno, Tomoki Fukai, Hiroshi Tsujino

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Tags: Computer science, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 280, Visualization

July 12, 2011 by hgpu

MATLAB Parallelization through Scalarization

Chun-Yu Shei, Adarsh Yoga, Madhav Ramesh, Arun Chauhan

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, Tesla C1060

July 11, 2011 by hgpu

Interactive free form deformer for point-based objects by GPU acceleration

A. Beddiaf, M.C. Babahenini, W. Puech

Tags: Algorithms, Computer science, Rendering, Visualization

July 11, 2011 by hgpu

Pseudo-Random Number Generation on GP-GPU

Jonathan Passerat-Palmbach, Claude Mazel, David R. C. Hill

Tags: Algorithms, Computer science, Pseudo-random number generators

July 11, 2011 by hgpu

The GeForce 6800

J. Montrym, H. Moreton

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Tags: Computer science, Hardware Architecture, nVidia, nVidia GeForce 6800, Rendering

July 11, 2011 by hgpu

Implementation of large-scale FIR adaptive filters on NVIDIA GeForce graphics processing unit

Akihiro Hirano, Kenji Nakayama

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Tags: Computer science, CUDA, Filtering, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9400 M

July 11, 2011 by hgpu

The computer graphics wars heat up

Michael Macedonia

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Tags: ATI, Computer science, nVidia, Review

July 11, 2011 by hgpu

Accelerating Lossless Data Compression with GPUs

R. L. Cloud, M. L. Curry, H. L. Ward, A. Skjellum, P. Bangalore

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Performance

July 11, 2011 by hgpu

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Pawel Maciol, Krzysztof Banas

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 8800 GTX, Performance, Tesla C870

July 10, 2011 by hgpu

Interactive global illumination in dynamic environments using commodity graphics hardware

M. Nijasure, S. Pattanaik, V. Goel

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9700, Computer science, OpenGL, Real-time graphics, Visualization

July 10, 2011 by hgpu

Many-core parallel computing – Can compilers and tools do the heavy lifting?

W.-m.W. Hwu

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Tags: Compilers, Computer science, CUDA, Image processing, nVidia, Presentation, Review

July 10, 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

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high performance computing on graphics processing units: hgpu.org

Improved Real-Time Stereo on Commodity Graphics Hardware

Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general-purpose computing on graphics processing units

MATLAB Parallelization through Scalarization

Interactive free form deformer for point-based objects by GPU acceleration

Pseudo-Random Number Generation on GP-GPU

The GeForce 6800

Implementation of large-scale FIR adaptive filters on NVIDIA GeForce graphics processing unit

The computer graphics wars heat up

Accelerating Lossless Data Compression with GPUs

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Interactive global illumination in dynamic environments using commodity graphics hardware

Many-core parallel computing – Can compilers and tools do the heavy lifting?

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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