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Exploiting parallel features of modern computer architectures in bioinformatics

Guillaume Chapuis

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Genetics, nVidia, Path problems, Tesla C2050, Tesla C2090, Thesis

December 16, 2013 by hgpu

A Cloud Computing Service Architecture of a Parallel Algorithm Oriented to Scientific Computing with CUDA and Monte Carlo

Ji Yimu, Kuang Zizhuo, Pan Qiao Yu, Sun Yanpeng, Kang Jiangbang, Huang Wei

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Tags: Algorithms, Cloud, Computer science, CUDA, Monte Carlo simulation, nVidia

December 16, 2013 by hgpu

Parallel GPU Implementation of Hough Transform for Circles

Meisam Askari, Hossein Ebrahimpour, Azam Asilian Bidgoli, Farahnaz Hosseini

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9300 M, nVidia GeForce 9400 GT, nVidia GeForce GT 220, nVidia GeForce GT 430

December 16, 2013 by hgpu

Finding the Force – Consistent Particle Seeding for Satellite Aerodynamics

J. Brent Parham, L. A. Barba

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Raytracing, Tesla K20

December 16, 2013 by hgpu

A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation

Yasuaki Ito, Koji Nakano

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Programming techniques

December 15, 2013 by hgpu

A Distributed Approximation Algorithm for Mixed Packing-Covering Linear Programs

Faraz Makari, Rainer Gemulla

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan

December 15, 2013 by hgpu

A Parallel Method for Impulsive Image Noise Removal on Hybrid CPU/GPU Systems

M.G. Sanchez, V. Vidal, J. Bataller, J. Arnal

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 120, OpenMP

December 15, 2013 by hgpu

Real time Multi-GPU-based Event Detection in High Definition Videos

Sidi Ahmed Mahmoudi, Pierre Manneback

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580

December 15, 2013 by hgpu

OpenCL-Accelerated Computation of a 3D SPECT Projection Operator for the Content Adaptive Mesh Model

Francesc Massanes, Jovan G. Brankov

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Tags: Algorithms, Medicine, nVidia, OpenCL, Tesla C2070, Tomography

December 15, 2013 by hgpu

GPU hardware acceleration for industrial applications: using computation to push beyond physical limitations

Mohammadhossein Afrasiabi

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, nVidia GeForce GTX 590, Rendering, Sensing, Software Engineering, Thesis

December 13, 2013 by hgpu

All-pairs Shortest Path Algorithm based on MPI+CUDA Distributed Parallel Programming Model

Wu Qingshuang, Tong Chunya, Wang Qiang, Cheng Xiangfu

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Tags: Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GT 410 M, Path problems

December 13, 2013 by hgpu

TuCCompi: A Multi-Layer Programing Model for Heterogeneous Systems with Auto-Tuning Capabilities

Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenMP

December 13, 2013 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

Exploiting parallel features of modern computer architectures in bioinformatics

Parallel GPU Implementation of Hough Transform for Circles

Finding the Force – Consistent Particle Seeding for Satellite Aerodynamics

A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation

A Distributed Approximation Algorithm for Mixed Packing-Covering Linear Programs

A Parallel Method for Impulsive Image Noise Removal on Hybrid CPU/GPU Systems

Real time Multi-GPU-based Event Detection in High Definition Videos

OpenCL-Accelerated Computation of a 3D SPECT Projection Operator for the Content Adaptive Mesh Model

GPU hardware acceleration for industrial applications: using computation to push beyond physical limitations

All-pairs Shortest Path Algorithm based on MPI+CUDA Distributed Parallel Programming Model

TuCCompi: A Multi-Layer Programing Model for Heterogeneous Systems with Auto-Tuning Capabilities

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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