high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

A CUDA-based parallel implementation of K-nearest neighbor algorithm

Shenshen Liang, Ying Liu, Cheng Wang, Liheng Jian

Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, Optimization

September 5, 2011 by hgpu

Real-Time Tone Mapping for High-Resolution HDR Images

Hanli Zhao, Xiaogang Jin, Jianbing Shen

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering

September 5, 2011 by hgpu

DUODECIM – a structure for point scan compression and rendering

Jens Kruger, Jens Schneider, Rudiger Westermann

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Tags: ATI, ATI Radeon X800, Compression, Computer science, OpenGL, Rendering

September 5, 2011 by hgpu

Fault table generation using Graphics Processing Units

K. Gulati, S.P. Khatri

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Tags: Computer science, CUDA, Electronic design automation, Fault simulation, nVidia, nVidia GeForce GTX 280

September 5, 2011 by hgpu

Efficient Execution on GPUs of Field-Based Vehicular Mobility Models

Kalyan S. Perumalla

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Tags: Computer science, Vehicular traffic

September 5, 2011 by hgpu

Isocube: Exploiting the Cubemap Hardware

Liang Wan, Tien-Tsin Wong, Chi-Sing Leung

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Tags: 3D Graphics and Realism, Cg, Computer science, Filtering, nVidia, nVidia GeForce FX 6800 Ultra, OpenGL

September 5, 2011 by hgpu

A CUDA Based Implementation of an Image Authentication Algorithm

Caiwei Lin, Lei Zhao, Jiwen Yang

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, Tesla C1060

September 5, 2011 by hgpu

Electrical distribution grid visualization using programmable GPUs

Javier Novo Rodriguez, Mariano Cabrero Canosa, Elena Hernandez Pereira

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Tags: CAD, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 8500 GT, Power Systems Simulation, Shaders, Visualization

September 4, 2011 by hgpu

A practical multi-viewer tabletop autostereoscopic display

Gu Ye, Andrei State, Henry Fuchs

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Tags: Computer science, Hardware Architecture, nVidia, nVidia GeForce GTX 295, Rendering

September 4, 2011 by hgpu

Interactive Separating Streak Surfaces

Florian Ferstl, Kai Burger, Holger Theisel, Rudiger Westermann

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Tags: Algorithms, Computer science, nVidia, nVidia Quadro FX 5800, Visualization

September 4, 2011 by hgpu

Visual Human – Machine Learning

Raphael Fuchs, Jurgen Waser, Meister Eduard Groller

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Tags: Algorithms, Computer science, CUDA, Genetic programming, Machine learning, nVidia, Pattern recognition, Rendering, Visualization

September 4, 2011 by hgpu

Interactive volumetric lighting simulating scattering and shadowing

Timo Ropinski, Christian Doring, Christof Rezk-Salama

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Tags: 3D Graphics and Realism, Computed tomography, CT, GLSL, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Tomography, Ultrasound

September 4, 2011 by hgpu

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A CUDA-based parallel implementation of K-nearest neighbor algorithm

Real-Time Tone Mapping for High-Resolution HDR Images

DUODECIM – a structure for point scan compression and rendering

Fault table generation using Graphics Processing Units

Efficient Execution on GPUs of Field-Based Vehicular Mobility Models

Isocube: Exploiting the Cubemap Hardware

A CUDA Based Implementation of an Image Authentication Algorithm

Electrical distribution grid visualization using programmable GPUs

A practical multi-viewer tabletop autostereoscopic display

Interactive Separating Streak Surfaces

Visual Human – Machine Learning

Interactive volumetric lighting simulating scattering and shadowing

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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