high performance computing on graphics processing units: hgpu.org

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Exploiting Data Parallelism in GPUs

Yongpeng Zhang

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Tags: Clustering, Computer science, CUDA, Data parallelism, GPU cluster, MPI, nVidia, nVidia GeForce GTX 280, Thesis

October 14, 2012 by hgpu

Lattice Group Models: GPU Acceleration and Numerics

Stefan Brechtken

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Tags: Boltzmann equation, CUDA, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 580, Optimization

October 14, 2012 by hgpu

Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units

Ion Lungu, Dana-Mihaela Petrosanu, Alexandru Pirjan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Optimization, Performance

October 14, 2012 by hgpu

Scalable GPU Acceleration of B-Spline Signal Processing Operations

Alexander Karantza

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Tags: CUDA, nVidia, Signal processing, Tesla C2070, Thesis

October 13, 2012 by hgpu

Mean shift for graph bundling

Ozan Ersoy, Christophe Hurter, Alexandru Telea

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Tags: Computer science, Graph theory, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenGL

October 13, 2012 by hgpu

An implicit Tensor-Mass solver on the GPU for soft bodies simulation

X. Faure, F. Zara, F. Jaillet, J-M. Moreau

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Tags: 3D Graphics and Realism, Computer science, FEM, Finite element method, nVidia, nVidia GeForce GTX 560, OpenCL, Virtual reality

October 13, 2012 by hgpu

AeminiumGPU: An Intelligent Framework for GPU Programming

Alcides Fonseca, Bruno Cabral

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Tags: Computer science, Heterogeneous systems, Java, MapReduce, nVidia, nVidia GeForce GTX 285, OpenCL, Package

October 13, 2012 by hgpu

Fast Parallel Implementation of Fractional Packing and Covering Linear Programs

Slobodan Jelic, Soren Laue, Domagoj Matijevic, Patrick Wijerama

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Tags: Algorithms, CUDA, Mathematics, nVidia, Tesla C2070

October 13, 2012 by hgpu

.NET High Performance Computing

Hsuan-Hsiu Ou

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 440, nVidia GeForce GTX 480, Task scheduling, Thesis

October 13, 2012 by hgpu

FPGA-GPU-CPU Heterogenous Architecture for Real-time Cardiac Physiological Optical Mapping

Pingfan Meng, Matthew Jacobsen, Ryan Kastner

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Tags: Algorithms, CUDA, FPGA, Image processing, Medicine, nVidia, nVidia GeForce GTX 590

October 13, 2012 by hgpu

Parallel H-Tree Based Data Cubing on Graphics Processors

Baoyuan Wang, Yizhou Yu

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce 8800 GTX

October 13, 2012 by hgpu

Accelerating Cost Aggregation for Real-Time Stereo Matching

Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk Sips, Gorkem Saygili, Laurens van der Maaten

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Tags: Algorithms, Image processing, nVidia, nVidia Quadro FX 5000, nVidia Quadro NVS 140 M, OpenCL, Optimization

October 13, 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

Exploiting Data Parallelism in GPUs

Lattice Group Models: GPU Acceleration and Numerics

Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units

Scalable GPU Acceleration of B-Spline Signal Processing Operations

Mean shift for graph bundling

An implicit Tensor-Mass solver on the GPU for soft bodies simulation

AeminiumGPU: An Intelligent Framework for GPU Programming

Fast Parallel Implementation of Fractional Packing and Covering Linear Programs

.NET High Performance Computing

FPGA-GPU-CPU Heterogenous Architecture for Real-time Cardiac Physiological Optical Mapping

Parallel H-Tree Based Data Cubing on Graphics Processors

Accelerating Cost Aggregation for Real-Time Stereo Matching

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)