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Fast Exact Hyper-Graph Matching with Dynamic Programming for Spatio-Temporal Data

Oya Celiktutan, Christian Wolf, Bulent Sankur, Eric Lombardi

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Tags: Algorithms, Computer science, Computer vision, CUDA, Graph theory, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 580, Sorting

March 14, 2014 by hgpu

Visualizing Trends on Twitter

Cheng Hau Tong

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Thesis, Visualization

March 13, 2014 by hgpu

The Flocking Based and GPU Accelerated Internet Traffic Classification

Zhiguang Xu

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Tesla C2070

March 13, 2014 by hgpu

Fast hydrodynamics on heterogenous many-core hardware

Allan Peter Engsig-Karup, Stefan L. Glimberg, Allan S. Nielsen, Ole Lindberg

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Tags: Computer science, CUDA, free surface, GPGPU, hydrodynamics, massively parallel computing, multigrid

March 12, 2014 by apek

Development of High-Performance Software Components for Emerging Architectures

Stefan Lemvig Glimberg, Allan Peter Engsig-Karup, Allan S. Nielsen, Bernd Dammann

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Source codes

Tags: Computer science, CUDA, GPGPU, iterative methods, Mathematics, multigrid, Package, parallel computing, Partial differential equations, Software development

March 12, 2014 by apek

Locality optimization on a NUMA architecture for hybrid LU factorization

Adrien Remy, Marc Baboulin, Masha Sosonkina, Brigitte Rozoy

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

March 12, 2014 by hgpu

Genetically Improved CUDA kernels for StereoCamera

W. B. Langdon, M. Harman

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Tags: Computer science, CUDA, Evolutionary Computations, Genetic programming, nVidia, nVidia GeForce GTX 580, Package, Tesla C2050, Tesla K20, Tesla T10

March 12, 2014 by hgpu

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

A. F. P. Camargos, V. C. Silva

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Tags: Conjugate gradient solver, CUDA, Electrodynamics, Factorization, FEM, Finite element method, nVidia, nVidia GeForce GT 240

March 12, 2014 by hgpu

MaxSSmap: A GPU program for short read mapping with the maximum scoring subsequence

Usman Roshan

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Tags: Bioinformatics, Biology, CUDA, nVidia, Short read mapping, Smith-Waterman algorithm, Tesla M2050

March 12, 2014 by hgpu

GPU Accelerated Discontinuous Galerkin Methods for Shallow Water Equations

R. Gandham, D. S. Medina, T. Warburton

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Tags: Algorithms, ATI, ATI Radeon HD 7970, CUDA, Differential equations, Mathematics, Numerical Analysis, nVidia, OCCA, OpenCL, Partial differential equations, PDEs, Tesla C2050, Tesla K20

March 10, 2014 by hgpu

A GPU Accelerated Aggregation Algebraic Multigrid Method

Rajesh Gandham, Ken Esler, Yongpeng Zhang

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Tags: Algorithms, CUDA, Mathematics, Numerical Analysis, nVidia, Partial differential equations, PDEs, Tesla M2090

March 10, 2014 by hgpu

Real-time video denoising for 2D ultrasound streaming video on GPUs

B. Dolwithayakul, C. Chantrapornchai, N. Chumchob

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Tags: CUDA, Image processing, nVidia, nVidia Quadro NVS 510 M, Ultrasound

March 9, 2014 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

Fast Exact Hyper-Graph Matching with Dynamic Programming for Spatio-Temporal Data

Visualizing Trends on Twitter

The Flocking Based and GPU Accelerated Internet Traffic Classification

Fast hydrodynamics on heterogenous many-core hardware

Development of High-Performance Software Components for Emerging Architectures

Locality optimization on a NUMA architecture for hybrid LU factorization

Genetically Improved CUDA kernels for StereoCamera

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

MaxSSmap: A GPU program for short read mapping with the maximum scoring subsequence

GPU Accelerated Discontinuous Galerkin Methods for Shallow Water Equations

A GPU Accelerated Aggregation Algebraic Multigrid Method

Real-time video denoising for 2D ultrasound streaming video on GPUs

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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