high performance computing on graphics processing units: hgpu.org

Rafael Sachetto Oliveira, Bernardo Martins Rocha, Ronan Mendonça Amorim, Fernando Otaviano Campos, Wagner Meira Jr., Elson Magalhães Toledo, Rodrigo Weber dos Santos

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Tags: cardiac simulation, comparison, CUDA, OpenCL, OpenGL

August 2, 2013 by rbm84

Fast Image Processing with Embedded Microprocessors

Guillermo Jesus Rafael Hernandez Gallegos

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Tags: Image processing, OpenCV, OpenGL, Thesis

July 27, 2013 by hgpu

ANGHABENCH: a Suite with One Million Compilable C Benchmarks for Code-Size Reduction

waLBerla: (widely applicable Lattice Boltzmann from Erlangen), massively parallel framework for multi physics applications

Highly Efficient Lattice-Boltzmann Multiphase Simulations of Immiscible Fluids at High-Density Ratios on CPUs and GPUs through Code Generation

NaturalCC: A Toolkit to Naturalize the Source Code Corpus

Systolic CNN

Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing

Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning

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2021

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Virtually in Barcelona, Spain

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

2020

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24-27

Naha, Okinawa, Japan

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

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13-15

Shenzhen, China

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

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14-16

Bangkok, Thailand

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020

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high performance computing on graphics processing units: hgpu.org

Development of Generic Scheduling Concepts for OpenGL ES 2.0

Point to Line Mappings and Other Line Parameterizations not only for Hough Transform

Advanced 2D Rasterization on Modern CPUs

APOGEE: adaptive prefetching on GPUs for energy efficiency

Performance Optimization of Vision Apps on Mobile Application Processor

A Shader Library for OpenGL 4 and GLSL 4.3 Learning and Development

PixelPie: Maximal Poisson-disk Sampling with Rasterization

Finding Next Best Views for Autonomous UAV Mapping through GPU-Accelerated Particle Simulation

A GPU implementation of massively parallel direction splitting for the incompressible Navier-Stokes equations

Real-Time Electroholography Using a Multi-GPU Environmental PC

Comparing CUDA, OpenCL and OpenGL Implementations of the Cardiac Monodomain Equations

Fast Image Processing with Embedded Microprocessors

Recent source codes

Adaptive Partial STEM

Linus: easy-to-share, interactive 3D figures

Compound Word Transformer

SAPFOR

CUDA Memtrace

ANGHABENCH: a Suite with One Million Compilable C Benchmarks for Code-Size Reduction

waLBerla: (widely applicable Lattice Boltzmann from Erlangen), massively parallel framework for multi physics applications

NaturalCC: A Toolkit to Naturalize the Source Code Corpus

Systolic CNN

Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning

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Featured events

9th International Workshop on OpenCL and SYCL, 2021

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020