high performance computing on graphics processing units: hgpu.org

hgpu.org » Finite element method

Effect of GPU Communication-Hiding for SpMV Using OpenACC

Olav Aanes Fagerlund, Takeshi Kitayama, Gaku Hashimoto, Hiroshi Okuda

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, FEM, Finite element method, OpenACC, Sparse matrix

August 15, 2014 by hgpu

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

Istvan Zoltan Reguly

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Tags: Algorithms, Code generation, Computer science, CUDA, Differential equations, FEM, Finite element method, Finite volume method, Fluid dynamics, Heterogeneous systems, Linear Algebra, nVidia, Partial differential equations, PDEs, Programming techniques, Tesla C2070, Tesla K20, Tesla K40, Thesis

July 24, 2014 by hgpu

COFFEE: an Optimizing Compiler for Finite Element Local Assembly

Fabio Luporini, Ana Lucia Varbanescu, Florian Rathgeber, Gheorghe-Teodor Bercea, J. Ramanujam, David A. Ham, Paul H.J. Kelly

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Tags: Compilers, Computer science, Differential equations, FEM, Finite element method, Intel Xeon Phi, Mathematical Software, Partial differential equations, PDEs

July 10, 2014 by hgpu

High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

Manob Jyoti Saikia, Rajan Kanhirodan, Ram Mohan Vasu

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Tags: CUDA, FEM, Finite element method, Image processing, Medicine, nVidia, Tesla K20, Tomography

June 6, 2014 by hgpu

A Step towards Energy Efficient Computing: Redesigning A Hydrodynamic Application on CPU-GPU

Tingxing Dong, Veselin Dobrev, Tzanio Kolev, Robert Rieben, Stanimire Tomov, Jack Dongarra

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Tags: Computer science, CUDA, FEM, Finite element method, Linear Algebra, nVidia, Tesla K20

May 20, 2014 by hgpu

Parallel Solving Massive Linear Equations with CUDA

Zheng Xia

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 295

May 7, 2014 by hgpu

GPU-based Parallel Computing for Nonlinear Finite Element Deformation Analysis

Ramin Mafi

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Tags: CUDA, FEM, Finite element method, Image registration, nVidia, nVidia GeForce GTX 470, Physics, Surgical simulation, Thesis

May 5, 2014 by hgpu

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

M.Wozniak, K.Kuznik, M. Paszynski, V. M. Calo, D. Pardo

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 780, Performance, Tesla C2070

April 21, 2014 by hgpu

An Approach to Efficient FEM Simulations on Graphics Processing Units Using CUDA

Bjorn Nutti, Dragan Marinkovic

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, FEM, Finite element method, nVidia, nVidia GeForce 8800 GTX

April 14, 2014 by hgpu

An optimized algorithm for discrete element system analysis using CUDA

Zhaosong Ma, Chun Feng, Tianping Liu, Shihai Li

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Tags: Algorithms, Computer science, CUDA, Finite element method, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 460, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla C2070

March 17, 2014 by hgpu

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

A. F. P. Camargos, V. C. Silva

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Tags: Conjugate gradient solver, CUDA, Electrodynamics, Factorization, FEM, Finite element method, nVidia, nVidia GeForce GT 240

March 12, 2014 by hgpu

Multilayered Abstractions for Partial Differential Equations

Graham Robert Markall

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Code generation, CUDA, Differential equations, FEM, Finite element method, Mathematics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL, Partial differential equations, PDEs, Software Engineering, Thesis

December 11, 2013 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

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high performance computing on graphics processing units: hgpu.org

Effect of GPU Communication-Hiding for SpMV Using OpenACC

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

COFFEE: an Optimizing Compiler for Finite Element Local Assembly

High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

A Step towards Energy Efficient Computing: Redesigning A Hydrodynamic Application on CPU-GPU

Parallel Solving Massive Linear Equations with CUDA

GPU-based Parallel Computing for Nonlinear Finite Element Deformation Analysis

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

An Approach to Efficient FEM Simulations on Graphics Processing Units Using CUDA

An optimized algorithm for discrete element system analysis using CUDA

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

Multilayered Abstractions for Partial Differential Equations

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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