high performance computing on graphics processing units: hgpu.org

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Performance comparison of Lattice Boltzmann fluid flow simulation using OpenCL and CUDA frameworks

Jelena Tekic, Predrag Tekic, Milos Rackovic

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Tags: Benchmarking, CUDA, Fluid dynamics, Heterogeneous systems, Java, Lattice Boltzmann model, nVidia, nVidia GeForce GT 220, OpenCL

January 2, 2015 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

Methods for Optimizing OpenCL Applications on Heterogeneous Multicore Architectures

Slo-Li Chu, Chih-Chieh Hsiao

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Tags: ATI, ATI Radeon HD 4670, ATI Radeon HD 5850, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 285, OpenCL, Optimization, Playstation

July 19, 2013 by hgpu

gR: A GPU-based Router

Priya Sundaresan, Sripriya Venkateshprasad, Yamini Muralitharan, Ranjani Parthasarathi

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Tags: Computer science, CUDA, Networks, nVidia, nVidia GeForce GT 220, Security

December 4, 2012 by hgpu

Asynchronous Parallel Computing Model of Global Motion Estimation with CUDA

Zuo Chen, Jialiang Ji, Renfa Li

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 220, Video encoding

March 9, 2012 by hgpu

Scalability of Self-organizing Maps on a GPU cluster using OpenCL and CUDA

Sabine McConnell, Robert Sturgeon, Gregory Henry, Andrew Mayne, Richard Hurley

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Tags: Algorithms, Computer science, CUDA, Data mining, GPU cluster, nVidia, nVidia GeForce GT 220, OpenCL, Self-organizing map, Tesla S1070

February 11, 2012 by hgpu

Accelerating H.264 Advanced Video Coding with GPU/CUDA Technology

Christopher Rivere Escobedo

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Tags: Compression, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GT 220, Thesis, Video encoding

February 9, 2012 by hgpu

CudaRF: A CUDA-based Implementation of Random Forests

Hakan Grahn, Niklas Lavesson, Mikael Hellborg Lapajne, Daniel Slat

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Data mining, Machine learning, nVidia, nVidia GeForce GT 220

February 9, 2012 by hgpu

Dynamic adaptation and distribution of binaries to heterogeneous architectures

Espen Angell Kristiansen

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Source codes

Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 280, OpenCL, Package, Playstation, Thesis

November 22, 2011 by hgpu

Molecular Docking on FPGA and GPU Platforms

I. Pechan, B. Feher

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Tags: Algorithms, Bioinformatics, Biology, CUDA, FPGA, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 260

November 13, 2011 by hgpu

Design and implementation of a high-performance stream-based computing platform on multigenerational GPUs

Pablo Lamilla Alvarez

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Tags: Computer science, GPU cluster, nVidia, nVidia GeForce GT 220, OpenCL, Performance, Thesis

October 24, 2011 by hgpu

A Uniform Platform to Support Multigenerational GPUs for High Performance Stream-based Computing

Pablo Lamilla Alvarez, Shinichi Yamagiwa, Masahiro Arai, Koichi Wada

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 280, OpenCL, OpenGL, Performance

September 26, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Performance comparison of Lattice Boltzmann fluid flow simulation using OpenCL and CUDA frameworks

Parallel GPU Implementation of Hough Transform for Circles

Methods for Optimizing OpenCL Applications on Heterogeneous Multicore Architectures

gR: A GPU-based Router

Asynchronous Parallel Computing Model of Global Motion Estimation with CUDA

Scalability of Self-organizing Maps on a GPU cluster using OpenCL and CUDA

Accelerating H.264 Advanced Video Coding with GPU/CUDA Technology

CudaRF: A CUDA-based Implementation of Random Forests

Dynamic adaptation and distribution of binaries to heterogeneous architectures

Molecular Docking on FPGA and GPU Platforms

Design and implementation of a high-performance stream-based computing platform on multigenerational GPUs

A Uniform Platform to Support Multigenerational GPUs for High Performance Stream-based Computing

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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