high performance computing on graphics processing units: hgpu.org

Programming

A Generic Library for Stencil Computations

Mauro Bianco, Ugo Varetto

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Mathematical Software, MPI, nVidia, PC cluster, Performance, Tesla M2090

July 10, 2012 by hgpu

A hybrid Hermitian general eigenvalue solver

Raffaele Solca, Thomas C. Schulthess, Azzam Haidar, Stanimire Tomov, Ichitaro Yamazaki, Jack Dongarra

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Tags: Chemistry, Computer science, CUDA, Materials Science, Numerical Analysis, nVidia, Tesla M2090

July 10, 2012 by hgpu

Parallelising the Transfer-Matrix Method using Graphics Processors

Thomas Edwards

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Tags: Computer science, CUDA, nVidia, Tesla C1060, Thesis

July 9, 2012 by hgpu

Performance models for CUDA streams on NVIDIA GeForce series

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Nicolas Guil

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Performance

July 9, 2012 by hgpu

Elastically Deformable Models based on the Finite Element Method Accelerated on Graphics Hardware using CUDA

Mickeal Verschoor, Andrei C. Jalba

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 570, Sparse matrix

July 9, 2012 by hgpu

Intensity model with blur effect on GPUs applied to large-scale star simulators

Chao Li, Yun-Quan Zhang, Changwen Zheng, Xiaohui Hu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package

July 9, 2012 by hgpu

Complete PISO and SIMPLE solvers on Graphics Processing Units

Tadeusz Tomczak, Katarzyna Zadarnowska, Zbigniew Koza, Maciej Matyka, Aukasz Miroslaw

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Tags: Algorithms, Computer science, CUDA, Navier-Stokes equations, NSEs, nVidia, Tesla C2070

July 9, 2012 by hgpu

Teaching Parallel Programming Models on a Shallow-Water Code

Alexander Breuer, Michael Bader

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Tags: CUDA, Education, Finite volume method, Fluid dynamics, MPI, nVidia, nVidia Quadro FX 2000, OpenMP, Package

July 8, 2012 by hgpu

GPU-Optimized Molecular Dynamics Simulations

Tyson J. Lipscomb

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Tags: Biology, Biomolecules, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Optimization, Pseudo-random number generators, Review, RNA, Tesla C2070, Thesis

July 8, 2012 by hgpu

Random Walks for Image Cosegmentation

Maxwell D. Collins, Jia Xu, Leo Grady, Vikas Singh

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 470, Package

July 7, 2012 by hgpu

Implementing Interactive 3D Segmentation on CUDA Using Graph-Cuts and Watershed Transformation

Jan Kolomaznik, Jan Horacek, Vaclav Krajicek, Josef Pelikan

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 560

July 7, 2012 by hgpu

Fast algorithm of ray tracing based on KD-tree structure

Yuanlong Wang, Ping Guo

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Tags: Algorithms, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 470, Raytracing

July 7, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

A Generic Library for Stencil Computations

A hybrid Hermitian general eigenvalue solver

Parallelising the Transfer-Matrix Method using Graphics Processors

Performance models for CUDA streams on NVIDIA GeForce series

Elastically Deformable Models based on the Finite Element Method Accelerated on Graphics Hardware using CUDA

Intensity model with blur effect on GPUs applied to large-scale star simulators

Complete PISO and SIMPLE solvers on Graphics Processing Units

Teaching Parallel Programming Models on a Shallow-Water Code

GPU-Optimized Molecular Dynamics Simulations

Random Walks for Image Cosegmentation

Implementing Interactive 3D Segmentation on CUDA Using Graph-Cuts and Watershed Transformation

Fast algorithm of ray tracing based on KD-tree structure

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

Most viewed papers (last 30 days)