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Correctly rounding elementary functions on GPU

Pierre Fortin, Mourad Gouicem, Stef Graillat

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Tags: Algorithms, Computer science, CUDA, Elementary functions, nVidia, Tesla C2070

November 14, 2012 by hgpu

Fast Gpu-Based Interpolation for SAR Backprojection

A. Capozzoli, C. Curcio, A. Liseno

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Tags: Algorithms, CUDA, Electrodynamics, FFT, nVidia, Tesla C2050

November 11, 2012 by hgpu

GPU Acceleration of Pyrosequencing Noise Removal

Yang Gao, Jason D. Bakos

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Tags: Algorithms, Bioinformatics, Biology, Clustering, CUDA, MPI, nVidia, Sequence alignment, Tesla C2070

November 10, 2012 by hgpu

SPH Based Fluid Animation Using CUDA Enabled GPU

Uday A. Nuli, P. J. Kulkarni

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Fluid simulation, nVidia, nVidia GeForce GTX 280

November 8, 2012 by hgpu

Massively parallel Monte Carlo for many-particle simulations on GPUs

Joshua A. Anderson, Eric Jankowski, Thomas L. Grubb, Michael Engel, Sharon C. Glotzer

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Tags: Algorithms, Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Particle simulation, Physics

November 8, 2012 by hgpu

Efficient implementation of data flow graphs on multi-gpu clusters

Vincent Boulos, Sylvain Huet, Vincent Fristot, Luc Salvo, Dominique Houzet

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Tags: Algorithms, CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 460 M, Signal processing

November 7, 2012 by hgpu

Study of Convolution Algorithms using CPU and Graphics Hardware

Matz Johansson Bergstrom

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 570, Thesis

November 7, 2012 by hgpu

A GPU-Based Transient Stability Simulation Using Runge-Kutta Integration Algorithm

Zhijun Qin, Yunhe Hou

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 580, Sparse direct solvers

November 7, 2012 by hgpu

Connectivity-Based Segmentation for GPU-Accelerated Mesh Decompression

Jie-Yi Zhao, Min Tang, Ruo-Feng Tong

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Geodesic Distances, nVidia, nVidia GeForce GTX 580

November 7, 2012 by hgpu

All-Pairs Shortest Path Algorithms Using CUDA

Jeremy Mark Kemp

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 470, Path problems, Thesis

November 6, 2012 by hgpu

Load-Balanced Multi-GPU Ambient Occlusion for Direct Volume Rendering

Alexandre Ancel, Jean-Michel Dischler, Catherine Mongenet

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Tags: Algorithms, Computer science, CUDA, Interactive application, nVidia, nVidia GeForce GTX 295, OpenMP, Rendering, Tesla C2050, Visualization

November 5, 2012 by hgpu

Quantum.Ligand.Dock: protein-ligand docking with quantum entanglement refinement on a GPU system

Alexander A. Kantardjiev

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Tags: Algorithms, Bioinformatics, Biology, OpenCL, Visualization

November 1, 2012 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

Correctly rounding elementary functions on GPU

Fast Gpu-Based Interpolation for SAR Backprojection

GPU Acceleration of Pyrosequencing Noise Removal

SPH Based Fluid Animation Using CUDA Enabled GPU

Massively parallel Monte Carlo for many-particle simulations on GPUs

Efficient implementation of data flow graphs on multi-gpu clusters

Study of Convolution Algorithms using CPU and Graphics Hardware

A GPU-Based Transient Stability Simulation Using Runge-Kutta Integration Algorithm

Connectivity-Based Segmentation for GPU-Accelerated Mesh Decompression

All-Pairs Shortest Path Algorithms Using CUDA

Load-Balanced Multi-GPU Ambient Occlusion for Direct Volume Rendering

Quantum.Ligand.Dock: protein-ligand docking with quantum entanglement refinement on a GPU system

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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