high performance computing on graphics processing units: hgpu.org

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A new physics engine with automatic process distribution between CPU-GPU

Mark Joselli, Esteban Clua, Anselmo Montenegro, Aura Conci, Paulo Pagliosa

Tags: 3D Graphics and Realism, Computer science, Virtual reality

December 8, 2010 by hgpu

GPU-based rendering of point-sampled water surfaces

Kei Iwasaki, Yoshinori Dobashi, Fujiichi Yoshimoto, Tomoyuki Nishita

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Tags: Computer science, Fluid simulation, nVidia, nVidia GeForce 7900 GTX, Real-time graphics, Rendering

December 8, 2010 by hgpu

Exploiting the Power of GPUs for Asymmetric Cryptography

Robert Szerwinski, Tim Guneysu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Security

December 8, 2010 by hgpu

Pathological image segmentation for neuroblastoma using the GPU

A. Ruiz, Jun Kong, M. Ujaldon, K. Boyer, J. Saltz, M. Gurcan

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX

December 8, 2010 by hgpu

Fast and exact solution of Total Variation models on the GPU

T. Pock, M. Unger, D. Cremers, H. Bischof

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

December 8, 2010 by hgpu

SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit

R. D. Prabhu

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Tags: Computer science, DirectX, Neural networks, nVidia, nVidia GeForce 6150, Self-organizing map

December 8, 2010 by hgpu

GPU based extraction of moving objects without shadows under intensity changes

Shinji Fukui, Yuji Iwahori, Robert J. Woodham

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Tags: Algorithms, DirectX, HLSL, Image processing, nVidia, nVidia GeForce 8800 GTX

December 8, 2010 by hgpu

Overview of implementation of DARPA GPU program in SAIC

Dennis Braunreiter, Jeremy Furtek, Hai W. Chen, Dennis Healy

Tags: ATI, nVidia, Optics, Physics, Review

December 8, 2010 by hgpu

Fast Deformable Registration on the GPU: A CUDA Implementation of Demons

P. Muyan-Ozcelik, J. D. Owens, Junyi Xia, S. S. Samant

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Tags: Computed tomography, CT, CUDA, Image processing, Image registration, nVidia, nVidia Quadro FX 5600

December 8, 2010 by hgpu

A survey of medical image registration on graphics hardware

O. Fluck, C. Vetter, W. Wein, A. Kamen, B. Preim, R. Westermann

Tags: Image processing, Image registration, Medicine, Review

December 8, 2010 by hgpu

Performance evaluation of image processing algorithms on the GPU

Daniel Castano-Diez, Dominik Moser, Andreas Schoenegger, Sabine Pruggnaller, Achilleas S S. Frangakis

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Tags: Biology, CUDA, Image processing, Medicine, nVidia, nVidia Quadro FX 5600, Pattern recognition, Tomography

December 7, 2010 by hgpu

Fast support vector machine training and classification on graphics processors

Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer

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

December 7, 2010 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 new physics engine with automatic process distribution between CPU-GPU

GPU-based rendering of point-sampled water surfaces

Exploiting the Power of GPUs for Asymmetric Cryptography

Pathological image segmentation for neuroblastoma using the GPU

Fast and exact solution of Total Variation models on the GPU

SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit

GPU based extraction of moving objects without shadows under intensity changes

Overview of implementation of DARPA GPU program in SAIC

Fast Deformable Registration on the GPU: A CUDA Implementation of Demons

A survey of medical image registration on graphics hardware

Performance evaluation of image processing algorithms on the GPU

Fast support vector machine training and classification on graphics processors

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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