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A structured parallel periodic arnoldi shooting algorithm for RF-PSS analysis based on GPU platforms

Xue-Xin Liu, Hao Yu, Jacob Relles, Sheldon X.-D. Tan

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Tags: Algorithms, CAD, Computer science, CUDA, Numerical Analysis, nVidia, Performance, Tesla C1060

August 27, 2011 by hgpu

Motion planning for autonomous driving with a conformal spatiotemporal lattice

Matthew McNaughton, Chris Urmson, John M. Dolan, Jin-Woo Lee

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Tags: Algorithms, Earth and Space Sciences, nVidia, nVidia GeForce GTX 260

August 27, 2011 by hgpu

Rapid RNA Folding: Analysis and Acceleration of the Zuker Recurrence

Arpith C. Jacob, Jeremy D. Buhler, Roger D. Chamberlain

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Tags: Algorithms, Bioinformatics, Biology, Computational biology, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, RNA, Tesla C870

August 27, 2011 by hgpu

A New Approach for Color Character Extraction Based on Parallel Clustering

Miao Qing, Fu Zhong-liang, Zhao Xiang-hui

Tags: Algorithms, Clustering, CUDA, Image processing, nVidia

August 27, 2011 by hgpu

A new adaptive model for real-time fluid simulation with complex boundaries

Jian He, Xi Chen, Zhangye Wang, Ke Yan, Chen Cao, Qunsheng Peng

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Tags: Algorithms, Cg, CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce GTX 280, Voxelization

August 27, 2011 by hgpu

Parallel Fast Gauss Transform

Rahul S. Sampath, Hari Sundar, Shravan K. Veerapaneni

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Tags: Algorithms, Computer science, Performance

August 26, 2011 by hgpu

Exploring graphics processing units as parallel coprocessors for online aggregation

Tobias Lauer, Amitava Datta, Zurab Khadikov, Christoffer Anselm

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Performance

August 26, 2011 by hgpu

Acceleration of an improved Retinex algorithm

Yuan-Kai Wang, Wen-Bin Huang

Tags: Algorithms, Compression, CUDA, Image processing, nVidia

August 26, 2011 by hgpu

Accelerating tetrahedral interpolation with data-level and Thread-Level Parallel optimization

Jaewoo Ahn, Becksang Seong, Wonyong Sung

Tags: Algorithms, Data parallelism, Image processing, Optimization

August 26, 2011 by hgpu

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

Seokhyun Kim, Hak-yeol Sohn, Jin Ho Chang, Tai-kyoung Song, Yangmo Yoo

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

August 25, 2011 by hgpu

An efficient GPU-based time domain solver for the acoustic wave equation

Ravish Mehra, Nikunj Raghuvanshi, Lauri Savioja, Ming C. Lin, Dinesh Manocha

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Tags: Acoustics, Algorithms, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9600 M GT, nVidia GeForce GTX 480, nVidia Quadro FX 5800, Physics, Visualization, Wave equation

August 25, 2011 by hgpu

Parallel computation of spherical parameterizations for mesh analysis

Theodoros Athanasiadis, Ioannis Fudos

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Package

August 24, 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

Programming

A structured parallel periodic arnoldi shooting algorithm for RF-PSS analysis based on GPU platforms

Motion planning for autonomous driving with a conformal spatiotemporal lattice

Rapid RNA Folding: Analysis and Acceleration of the Zuker Recurrence

A New Approach for Color Character Extraction Based on Parallel Clustering

A new adaptive model for real-time fluid simulation with complex boundaries

Parallel Fast Gauss Transform

Exploring graphics processing units as parallel coprocessors for online aggregation

Acceleration of an improved Retinex algorithm

Accelerating tetrahedral interpolation with data-level and Thread-Level Parallel optimization

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

An efficient GPU-based time domain solver for the acoustic wave equation

Parallel computation of spherical parameterizations for mesh analysis

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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