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Parallel unmixing of remotely sensed hyperspectral images on commodity graphics processing units

Sergio Sanchez, Abel Paz, Gabriel Martin, Antonio Plaza

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 275, Tesla C1060

January 13, 2012 by hgpu

Optimization of power consumption in the iterative solution of sparse linear systems on graphics processors

Hartwig Anzt, Maribel Castillo, Juan C. Fernandez, Vincent Heuveline, Francisco D. Igual, Rafael Mayo and Enrique S. Quintana-Orti

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, Mixed precision, nVidia, Tesla C1060

January 11, 2012 by hgpu

Analysis and optimization of power consumption in the iterative solution of sparse linear systems on multi-core and many-core platforms

Hartwig Anzt, Vincent Heuveline, Jose I. Aliaga, Maribel Castillo, Juan C. Fernandez, Rafael Mayo, Enrique S. Quintana-Orti

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, nVidia, Optimization, Sparse linear iterative solvers, Tesla C1060

January 11, 2012 by hgpu

Exponential integrators on graphic processing units

Lukas Einkemmer

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, Tesla C1060, Thesis

January 11, 2012 by hgpu

MetaBinG: Using GPUs to Accelerate Metagenomic Sequence Classification

Peng Jia, Liming Xuan, Lei Liu, Chaochun Wei

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Source codes

Tags: Biology, Computational biology, CUDA, Genetics, nVidia, Package, Tesla C1060

January 11, 2012 by hgpu

Graphics Processor Unit (GPU) Acceleration of Finite-Difference Frequency-Domain (FDFD) Method

V. Demir

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Tesla C1060

January 10, 2012 by hgpu

A new parallel tool for classification of remotely sensed imagery

Sergio Bernabe, Antonio Plaza, Prashanth Reddy Marpu, Jon Atli Benediktsson

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Tags: Clustering, CUDA, Earth and Space Sciences, Java, nVidia, nVidia GeForce 9400 M, Tesla C1060

January 9, 2012 by hgpu

Hybrid Algorithms for List Ranking and Graph Connected Components

Dip Sankar Banerjee, Kishore Kothapalli

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Tags: Algorithms, Computer science, CUDA, List ranking, nVidia, Sorting, Tesla C1060

January 8, 2012 by hgpu

Some Graph Algorithms And Related Primitives For The GPU

Jyothish Soman

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C1060, Thesis

January 8, 2012 by hgpu

A Highly Efficient GPU-CPU Hybrid Parallel Implementation of Sparse LU Factorization

Liu Li, Liu Li, Yang Guangwen

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Tags: Algorithms, Compression, Computer science, CUDA, Factorization, nVidia, Sparse matrix, Tesla C1060

January 8, 2012 by hgpu

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Yifeng Chen, Xiang Cui, Hong Mei

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Tags: Code generation, Computer science, CUDA, FFT, GPU cluster, Heterogeneous systems, MPI, nVidia, Optimization, Performance, Programming techniques, Pthreads, Tesla C1060

January 5, 2012 by hgpu

Parallel Implementation of Compressive Sensing Based SAR Imaging with GPU

Tian Jihua, Sun Jinping, Zhang Yuxi, Najeeb Ahmad, Zhang Bingchen

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, Sensing, Tesla C1060

January 4, 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

Parallel unmixing of remotely sensed hyperspectral images on commodity graphics processing units

Optimization of power consumption in the iterative solution of sparse linear systems on graphics processors

Analysis and optimization of power consumption in the iterative solution of sparse linear systems on multi-core and many-core platforms

Exponential integrators on graphic processing units

MetaBinG: Using GPUs to Accelerate Metagenomic Sequence Classification

Graphics Processor Unit (GPU) Acceleration of Finite-Difference Frequency-Domain (FDFD) Method

A new parallel tool for classification of remotely sensed imagery

Some Graph Algorithms And Related Primitives For The GPU

A Highly Efficient GPU-CPU Hybrid Parallel Implementation of Sparse LU Factorization

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Parallel Implementation of Compressive Sensing Based SAR Imaging with GPU

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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