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Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs

Furong Huang, Niranjan U N, Mohammad Umar Hakeem, Prateek Verma, Animashree Anandkumar

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Tags: Computer science, CUDA, CULA, Machine learning, nVidia, nVidia Quadro K4000, nVidia Quadro K5000

September 9, 2013 by hgpu

GPU-based simulation of brain neuron models

H. A. Du Nguyen

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Tags: CUDA, Neural networks, Neuroscience, nVidia, nVidia GeForce GT 640, Review, Tesla C2075, Thesis

September 7, 2013 by hgpu

Comparison and Analysis of GPU Energy Effciency For CUDA and OpenCL

J. Jackson

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Tags: CUDA, nVidia, nVidia GeForce 9800 GT, OpenCL, Power-efficient computing

September 7, 2013 by hgpu

A Survey on GPU System Considering its Performance on Different Applications

D. Londhe, P. Barapatre, N. Gholap,S. Das

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Tags: CUDA, nVidia, Performance, Review

September 6, 2013 by hgpu

Skew Handling in Aggregate Streaming Queries on GPUs

G. Koutsoumpakis, I. Koutsoumpakis, A. Gounaris

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Tags: CUDA, Databases, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 550 Ti, Performance

September 6, 2013 by hgpu

Percolation study of samples on 2D lattices using GPUs

D.A. Matoz-Fernandez, P.M. Pasinetti, A.J. Ramirez-Pastor

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Tags: CUDA, Materials Science, Mathematics, nVidia, nVidia GeForce GTX 480, Physics

September 6, 2013 by hgpu

Efficient Implementation of RLS-Based Adaptive Filters on nVIDIA GeForce Graphics Processing Unit

A. Hirano, K. Nakayama

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Tags: CUDA, Filtering, nVidia, nVidia GeForce 8800 GTS, Signal processing

September 5, 2013 by hgpu

Real-Time Motion Artifact Compensation for PMD-ToF Images

T. Hoegg, D. Lefloch, A. Kolb

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Tags: CUDA, Image processing, Motion compensation, nVidia, nVidia GeForce GTX 680

September 5, 2013 by hgpu

Work in Progress: Vortex Detection and Visualization for Design of Micro Air Vehicles and Turbomachinery

R.J. Vickery, H. Thornburg, T. Wischgoll, C. Koehler, H. Dong, M. Pickett, N. Eikenberry, L. Harris, R. Snyder, D. Sanders, R. Hand

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia

September 5, 2013 by hgpu

Transparent CPU-GPU Collaboration for Data-Parallel Kernels on Heterogeneous Systems

J. Lee, M. Samadi, Y. Park, S. Mahlke

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Tags: Data parallelism, Heterogeneous systems, nVidia, nVidia GeForce GTX 560, nVidia Quadro 600, OpenCL

September 5, 2013 by hgpu

GPU & CPU implementation of Young – Van Vliet’s Recursive Gaussian Smoothing Filter

I. Vidal-Migallón, O. Commowick, X. Pennec, J. Dauguet, T Vercauteren

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Tags: ATI Radeon HD 6970, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 650, OpenCL

September 5, 2013 by hgpu

Generation of the Scrambled Halton Sequence Using Accelerators

Emanouil Atanassov, Mariya Durchova

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, Tesla M2090

September 4, 2013 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

Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs

GPU-based simulation of brain neuron models

Comparison and Analysis of GPU Energy Effciency For CUDA and OpenCL

A Survey on GPU System Considering its Performance on Different Applications

Skew Handling in Aggregate Streaming Queries on GPUs

Percolation study of samples on 2D lattices using GPUs

Efficient Implementation of RLS-Based Adaptive Filters on nVIDIA GeForce Graphics Processing Unit

Real-Time Motion Artifact Compensation for PMD-ToF Images

Work in Progress: Vortex Detection and Visualization for Design of Micro Air Vehicles and Turbomachinery

Transparent CPU-GPU Collaboration for Data-Parallel Kernels on Heterogeneous Systems

GPU & CPU implementation of Young – Van Vliet’s Recursive Gaussian Smoothing Filter

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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