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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

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

High speed view interpolation for tele-teaching and tele-conferencing

Indra Geys, Luc Van Gool

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 4, Stereo vision

September 4, 2011 by hgpu

Animation of Orthogonal Texture Patterns for Vector Field Visualization

Sven Bachthaler, Daniel Weiskopf

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Tags: Algorithms, Computer science, DirectX, Filtering, HLSL, nVidia, nVidia GeForce 7900 GS, Visualization

September 4, 2011 by hgpu

Sort-First Parallel Volume Rendering

Brendan Moloney, Marco Ament, Daniel Weiskopf, Torsten Moller

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Tags: Algorithms, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Visualization

September 4, 2011 by hgpu

View-Dependent Streamlines for 3D Vector Fields

Stephane Marchesin, Cheng-Kai Chen, Chris Ho, Kwan-Liu Ma

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, OpenGL, Visualization

September 3, 2011 by hgpu

Utilizing Hierarchical Multiprocessing for Medical Image Registration

William Plishker, Omkar Dandekar, Shuvra S. Bhattacharyya, Raj Shekhar

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Tags: Algorithms, CUDA, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GTX 285

September 3, 2011 by hgpu

Interactive Reaction-Diffusion on Surface Tiles

Kui-Yip Lo, Hongwei Li, Chi-Wing Fu, Tien-Tsin Wong

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Tags: 3D Graphics and Realism, Algorithms, Cg, Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL

September 3, 2011 by hgpu

Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations

Marcin Bogdanski, Peter R. Lewis, Tobias Becker, Xin Yao

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Tags: Algorithms, Computer science, Finance, FPGA, Heterogeneous systems, Machine learning, Task scheduling

September 3, 2011 by hgpu

Using Graphics Processing Units for Logic Simulation of Electronic Designs

Alper Sen, Baris Aksanli, Murat Bozkurt

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Electronic design automation, nVidia, nVidia Quadro FX 3800, Optimization

September 2, 2011 by hgpu

Using GPU to exploit parallelism on cryptography

R.C. Detomini, R.S. Lobato, R. Spolon, M.A. Cavenaghi

Tags: AES, Algorithms, Computer science, CUDA, nVidia, Security

September 2, 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

A CUDA Based Implementation of an Image Authentication Algorithm

Interactive Separating Streak Surfaces

Visual Human – Machine Learning

High speed view interpolation for tele-teaching and tele-conferencing

Animation of Orthogonal Texture Patterns for Vector Field Visualization

Sort-First Parallel Volume Rendering

View-Dependent Streamlines for 3D Vector Fields

Utilizing Hierarchical Multiprocessing for Medical Image Registration

Interactive Reaction-Diffusion on Surface Tiles

Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations

Using Graphics Processing Units for Logic Simulation of Electronic Designs

Using GPU to exploit parallelism on cryptography

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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