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Top-k Queries Processing With Uncertain Data on Graphics Processing Units

Haozhe Chang, Tingting Qin, Xiaoguang Liu, Gang Wang, Airu Yin

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

January 9, 2012 by hgpu

Designing Numerical Solvers for Next Generation High Performance Computing

Mark James Mawson

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia Quadro FX 6000, PC cluster, Review, Thesis

January 9, 2012 by hgpu

LU Factorization for Accelerator-based Systems

Emmanuel Agullo, Cedric Augonnet, Jack Dongarra, Mathieu Faverge, Julien Langou, Hatem Ltaief, Stanimire Tomov

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla S1070, Tesla S2050

January 9, 2012 by hgpu

Neural Network Simulation: The recognition application

Panagiotis Afxentis, Alicia Sanchez Crespo, Ying Zhang

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Tags: Algorithms, CNN, Computer science, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 570

January 9, 2012 by hgpu

High Performance and Scalable GPU Graph Traversal

Duane Merrill, Michael Garland, Andrew Grimshaw

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 280, Tesla C2050

January 9, 2012 by hgpu

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Marc Baboulin, Simplice Donfack, Laura Grigori, Adrien Remy, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Performance, Tesla S2050

January 8, 2012 by hgpu

Makespan computation for GPU threads running on a single streaming multiprocessor

Kostiantyn Berezovskyi, Konstantinos Bletsas, Bjorn Andersson

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Tags: Computer science, CUDA, nVidia, Optimization, Timing analysis

January 8, 2012 by hgpu

Hybrid Algorithms for List Ranking and Graph Connected Components

Dip Sankar Banerjee, Kishore Kothapalli

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Tags: Algorithms, Computer science, CUDA, List ranking, nVidia, Sorting, Tesla C1060

January 8, 2012 by hgpu

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Hartwig Anzt, Stanimire Tomov, Mark Gates, Jack Dongarra, Vincent Heuveline

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Performance, Tesla C2070

January 8, 2012 by hgpu

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

Rio Yokota, L. A. Barba

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Tags: Algorithms, Astrophysics, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, Physics, Tesla M2050

January 8, 2012 by hgpu

A Quasi-Parallel GPU-Based Algorithm for Delaunay Edge-Flips

Cristobal A. Navarro, Nancy Hitschfeld-Kahler, Eliana Scheihing

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, OpenGL, Triangular meshes

January 8, 2012 by hgpu

Direct solution of the Boltzmann equation for a binary mixture on GPUs

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

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Tags: Boltzmann equation, CUDA, Finite difference, nVidia, nVidia GeForce GTX 260, Physics

January 8, 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

Top-k Queries Processing With Uncertain Data on Graphics Processing Units

Designing Numerical Solvers for Next Generation High Performance Computing

LU Factorization for Accelerator-based Systems

Neural Network Simulation: The recognition application

High Performance and Scalable GPU Graph Traversal

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Makespan computation for GPU threads running on a single streaming multiprocessor

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

A Quasi-Parallel GPU-Based Algorithm for Delaunay Edge-Flips

Direct solution of the Boltzmann equation for a binary mixture on GPUs

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

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