NDLI: Alternate Parallel Processing Approach for FEM

Content Provider	IEEE Xplore Digital Library
Author	Fernandez, D.M. Dehnavi, M.M. Gross, W.J. Giannacopoulos, D.
Copyright Year	1965
Abstract	In this work we present a new alternate way to formulate the finite element method (FEM) for parallel processing based on the solution of single mesh elements called FEM-SES. The key idea is to decouple the solution of a single element from that of the whole mesh, thus exposing parallelism at the element level. Individual element solutions are then superimposed node-wise using a weighted sum over concurrent nodes. A classic 2-D electrostatic problem is used to validate the proposed method obtaining accurate results. Results show that the number of iterations of the proposed FEM-SES method scale sublinearly with the number of unknowns. Two generations of CUDA enabled NVIDIA GPUs were used to implement the FEM-SES method and the execution times were compared to the classic FEM showing important performance benefits.
Sponsorship	IEEE Magnetics Society
Starting Page	399
Ending Page	402
Page Count	4
File Size	668349
File Format	PDF
ISSN	00189464
Volume Number	48
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing unit Finite element methods Kernel Parallel processing Convergence Iterative methods Instruction sets parallel processing Acceleration finite element method graphic processing units (GPU) multicore
Content Type	Text
Resource Type	Article
Subject	Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Parallel Realization of the Element-by-Element FEM Technique by CUDA

Finite-Element Sparse Matrix Vector Multiplication on Graphic Processing Units

Toward Real-Time Finite-Element Simulation on GPU

Enhancing the Performance of Conjugate Gradient Solvers on Graphic Processing Units

Implementation of Iron Loss Model on Graphic Processing Units

Performance Analysis of Multi-GPU Implementations of Krylov-Subspace Methods Applied to FEA of Electromagnetic Phenomena

Parallelization of Finite Element Analysis of Nonlinear Magnetic Fields Using GPU

CUDA Approach for Meshless Local Petrov–Galerkin Method

A Region-Growing Segmentation Algorithm for GPUs

Alternate Parallel Processing Approach for FEM

Similar Documents

Parallel Realization of the Element-by-Element FEM Technique by CUDA

Finite-Element Sparse Matrix Vector Multiplication on Graphic Processing Units

Toward Real-Time Finite-Element Simulation on GPU

Enhancing the Performance of Conjugate Gradient Solvers on Graphic Processing Units

Implementation of Iron Loss Model on Graphic Processing Units

Performance Analysis of Multi-GPU Implementations of Krylov-Subspace Methods Applied to FEA of Electromagnetic Phenomena

Parallelization of Finite Element Analysis of Nonlinear Magnetic Fields Using GPU

CUDA Approach for Meshless Local Petrov–Galerkin Method

A Region-Growing Segmentation Algorithm for GPUs

Alternate Parallel Processing Approach for FEM