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A Generic and Scalable Pipeline for GPU Tetrahedral Grid Rendering

J. Georgii, R. Westermann

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 7900 GTX, Rendering

October 28, 2010 by hgpu

Radial Basis Function Networks GPU-Based Implementation

A. Brandstetter, A. Artusi

Tags: Computer science, Neural networks

October 28, 2010 by hgpu

Adapting a message-driven parallel application to GPU-accelerated clusters

James C. Phillips, John E. Stone, Klaus Schulten

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Tags: Computer science, CUDA, GPU cluster, Molecular dynamics, nVidia, nVidia Quadro FX 5600

October 28, 2010 by hgpu

GIST: an interactive, GPU-based level set segmentation tool for 3D medical images

Joshua E. Cates, Aaron E. Lefohn, Ross T. Whitaker

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Tags: ATI, ATI Radeon 9700 Pro, Computer science, Image processing, Medicine

October 28, 2010 by hgpu

Advanced illumination techniques for GPU volume raycasting

Markus Hadwiger, Patric Ljung, Christof R. Salama, Timo Ropinski

Tags: 3D Graphics and Realism, Computer science, Numerical simulation, Raytracing, Rendering

October 28, 2010 by hgpu

GPU-Based Monte-Carlo Volume Raycasting

C. R. Salama

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL, Raytracing, Rendering

October 28, 2010 by hgpu

Parallel Algorithm for GPU Processing; for use in High Speed Machine Vision Sensing of Cotton Lint Trash

Mathew Pelletier

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Tags: Computer science, Computer vision, Cotton, Image processing, nVidia, nVidia GeForce 8800 Ultra, Sensing

October 28, 2010 by hgpu

GPU support for batch oriented workloads

Lauro B. Costa, Samer Al-Kiswany, Matei Ripeanu

Tags: Bloom filter, Computer science

October 28, 2010 by hgpu

Accelerating Large Graph Algorithms on the GPU Using CUDA

Pawan Harish, P. Narayanan

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 8800 GTX

October 28, 2010 by hgpu

The gputools package enables GPU computing in R

Joshua Buckner, Justin Wilson, Mark Seligman, Brian Athey, Stanley Watson, Fan Meng

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Source codes

Tags: Computer science, CUBLAS, CUDA, nVidia, Package

October 28, 2010 by hgpu

Implementing Decision Trees and Forests on a GPU

Toby Sharp

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Tags: Computer science, Computer vision, HLSL, nVidia, nVidia GeForce GTX 280

October 28, 2010 by hgpu

Adaptive Mesh Fluid Simulations on GPU

Peng Wang, Tom Abel, Ralf Kaehler

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, nVidia, nVidia GeForce 8800 GT

October 28, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A Generic and Scalable Pipeline for GPU Tetrahedral Grid Rendering

Radial Basis Function Networks GPU-Based Implementation

Adapting a message-driven parallel application to GPU-accelerated clusters

GIST: an interactive, GPU-based level set segmentation tool for 3D medical images

Advanced illumination techniques for GPU volume raycasting

GPU-Based Monte-Carlo Volume Raycasting

Parallel Algorithm for GPU Processing; for use in High Speed Machine Vision Sensing of Cotton Lint Trash

GPU support for batch oriented workloads

Accelerating Large Graph Algorithms on the GPU Using CUDA

The gputools package enables GPU computing in R

Implementing Decision Trees and Forests on a GPU

Adaptive Mesh Fluid Simulations 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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