high performance computing on graphics processing units: hgpu.org

hgpu.org » Linear Algebra

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Thierry Gautier, Joao V. F. Lima, Nicolas Maillard, Bruno Raffin

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Tags: Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, nVidia, Package, Tesla C2050

January 25, 2013 by hgpu

A GPU-accelerated Direct-sum Boundary Integral Poisson-Boltzmann Solver

Weihua Geng, Ferosh Jacob

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Tags: Biomolecules, CUDA, Electrostatics, Linear Algebra, Mathematics, Molecular surface, Numerical Analysis, nVidia, Poisson Boltzmann, Tesla M2070

January 25, 2013 by hgpu

Multi-Platform LU-Decomposition Solution in OpenCL

Ehsan Nasiri, Rafat Rashid, Saurabh Verma

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, FPGA, Linear Algebra, OpenCL

January 10, 2013 by hgpu

CUDA based iterative methods for linear systems

Bogdan Oancea

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280

January 7, 2013 by hgpu

Numerical computations in Java with CUDA

Bogdan Oancea, Tudorel Andrei, Andreea Iluzia Iacob

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Tags: Computer science, CUBLAS, CUDA, Java, Linear Algebra, nVidia, nVidia GeForce 9500 GT

January 7, 2013 by hgpu

Approximate Subdivision Surface Evaluation in the Language of Linear Algebra

Michael Driscoll

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Tags: 3D Graphics and Realism, Computer science, CUDA, Image generation, Linear Algebra, nVidia, nVidia GeForce GTX 480, Sparse matrix

January 5, 2013 by hgpu

Task-based Conjugate-Gradient for multi-GPUs platforms

Emmanuel Agullo, Luc Giraud, Abdou Guermouche, Stojce Nakov, Jean Roman

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2070

December 25, 2012 by hgpu

Sparse Matrix Multiplication using CUDA and Mex Interface

Abhishek Deshpande

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Sparse matrix

December 20, 2012 by hgpu

Implementing QR Factorization Updating Algorithms on GPUs

Robert Andrew, Nicholas Dingle

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, Numerical Analysis, nVidia, Tesla M2050

December 10, 2012 by hgpu

GPU accelerating the FEniCS Project

Fredrik Heffer Valdmanis

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Tags: Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C2070, Thesis

December 8, 2012 by hgpu

Improving the Performance of the Linear Systems Solvers Using CUDA

Bogdan Oancea, Tudorel Andrei, Raluca Mariana Dragoescu

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, nVidia GeForce GTX 280

November 24, 2012 by hgpu

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Li-Wen Chang, John A. Stratton, Hee-Seok Kim, Wen-Mei W. Hwu

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 480, Package, Tesla M2070

November 20, 2012 by hgpu

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

EnergyUCB-Bandit

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

Effects of OpenCL-Based Parallelization Methods on Explicit Numerical Methods to Solve the Heat Equation

UVaFTLE: Lagrangian finite time Lyapunov exponent extraction for fluid dynamic applications

Challenging Portability Paradigms: FPGA Acceleration Using SYCL and OpenCL

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high performance computing on graphics processing units: hgpu.org

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

A GPU-accelerated Direct-sum Boundary Integral Poisson-Boltzmann Solver

Multi-Platform LU-Decomposition Solution in OpenCL

CUDA based iterative methods for linear systems

Numerical computations in Java with CUDA

Approximate Subdivision Surface Evaluation in the Language of Linear Algebra

Task-based Conjugate-Gradient for multi-GPUs platforms

Sparse Matrix Multiplication using CUDA and Mex Interface

Implementing QR Factorization Updating Algorithms on GPUs

GPU accelerating the FEniCS Project

Improving the Performance of the Linear Systems Solvers Using CUDA

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Recent source codes

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

EnergyUCB-Bandit

Effects of OpenCL-Based Parallelization Methods on Explicit Numerical Methods to Solve the Heat Equation

Faial: finds bugs in CUDA kernels

Intel® SHMEM: Device initiated shared memory based communication library

miniLB: Lattice Botlzmann miniapp w/SYCL

AFOCL

2domination

MFC: Exascale simulation of multiphase/physics fluid dynamics

UVaFTLE: Lagrangian finite time Lyapunov exponent extraction for fluid dynamic applications

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