high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Computer Vision Application in Graphic Processors

Chouchene Marwa, Sayadi Fatma, Tourki Rached

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Tags: Computer science, Computer vision, GLSL, Image processing, nVidia, nVidia GeForce GT 310 M, OpenGL

September 23, 2012 by hgpu

A Quantitative Study of Irregular Programs on GPUs

Martin Burtscher, Rupesh Nasre, Keshav Pingali

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Performance

September 23, 2012 by hgpu

Computing of high breakdown regression estimators without sorting on graphics processing units

G. Beliakov, M. Johnstone, S. Nahavandi

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Tags: Computer science, CUDA, nVidia, Tesla C2050

September 22, 2012 by hgpu

SpMV: A Memory-Bound Application on the GPU Stuck Between a Rock and a Hard Place

John D. Davis, Eric S. Chung

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Sparse matrix

September 22, 2012 by hgpu

Overlapping computation and communication of three-dimensional FDTD on a GPU cluster

Ki-Hwan Kim, Q-Han Park

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Tags: Computer science, FDTD, Finite-difference time-domain, GPU cluster, nVidia, OpenCL, Tesla C2075

September 22, 2012 by hgpu

Modification of self-organizing migration algorithm for OpenCL framework

Michal Pavlech, Jan Seckar

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Tags: Algorithms, ATI, ATI Radeon HD 7850, Computer science, nVidia, OpenCL, Optimization, Tesla C2075

September 22, 2012 by hgpu

Large-Scale Motion Modelling using a Graphical Processing Unit

Yusuf Dinath

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Thesis

September 21, 2012 by hgpu

Parallelization of Hierarchical Text Clustering on Multi-core CUDA Architecture

Atul Bagga, Durga Toshniwal

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Tags: Clustering, Computer science, CUDA, Databases, Hierarchical clustering, nVidia, nVidia GeForce 8800 GTX

September 21, 2012 by hgpu

Fast and Efficient Automatic Memory Management for GPUs using Compiler-Assisted Runtime Coherence Scheme

Sreepathi Pai, R. Govindarajan, Matthew J. Thazhuthaveetil

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Tags: Computer science, CUDA, Memory model, nVidia, Performance, Tesla C1060

September 21, 2012 by hgpu

Autotuning Wavefront Abstractions for Heterogeneous Architectures

Siddharth Mohanty, Murray Cole

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL

September 21, 2012 by hgpu

Evolutionary Clustering on CUDA

Pavel Kromer, Jan Platos, Vaclav Snasel

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Tags: Algorithms, Clustering, Computer science, CUDA, Machine learning, nVidia, Tesla C2050

September 20, 2012 by hgpu

Binaural Simulations Using Audio Rate FDTD Schemes and CUDA

Craig J. Webb, Stefan Bilbao

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, Tesla C2050

September 20, 2012 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

Applications

Computer Vision Application in Graphic Processors

A Quantitative Study of Irregular Programs on GPUs

Computing of high breakdown regression estimators without sorting on graphics processing units

SpMV: A Memory-Bound Application on the GPU Stuck Between a Rock and a Hard Place

Overlapping computation and communication of three-dimensional FDTD on a GPU cluster

Modification of self-organizing migration algorithm for OpenCL framework

Large-Scale Motion Modelling using a Graphical Processing Unit

Parallelization of Hierarchical Text Clustering on Multi-core CUDA Architecture

Fast and Efficient Automatic Memory Management for GPUs using Compiler-Assisted Runtime Coherence Scheme

Autotuning Wavefront Abstractions for Heterogeneous Architectures

Evolutionary Clustering on CUDA

Binaural Simulations Using Audio Rate FDTD Schemes and CUDA

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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