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CFD Events Calendar, Event Record #25887

High Performance Computing (HPC) of Computational Fluid Dynamics Problems
This course aimed at introducing a methodology to solve complex linear/nonlinear problems numerically using HPC. This unique course gives training to write parallel programming codes on a multi-CPU framework and provides information about high accuracy schemes that requires lesser computational resources. This course is a blend of parallel computing along with the numerical methods that requires at least 1000 times less computing resources than any traditional methods.
Date: June 25, 2018 - July 5, 2018
Location: National Institute of Technology, Warangal, Telangana, India
Web Page: https://www.nitw.ac.in/eict/files/EICT_HPC_NIT.pdf
Contact Email: hpccfd2018@gmail.com
Organizer: NIT Warangal
Application Areas: General CFD
Special Fields: High Performance Computing
Deadlines: June 7, 2018 (abstract), June 7, 2018 (registration)
Type of Event: Course, National
 
Description:

During this course the following three modules along with the 
pedagogy tools will be covered:
Major Course Contents:
Module 1: Parallel computing fundamentals, Massively parallel 
computing using MPI and OpenMP, MPI - Message passing 
libraries, Pthread
Module 2: High Performance Computing:
Historical perspective and introduction to HPC, Different 
architectures and parallel programming models, Domain 
decomposition method, Communication between processors, 
Solution of hyperbolic and elliptic model problems using MPI, 
HPC Benchmarking & Performance analysis.
Module 3: High accuracy schemes and algorithms for HPC
Spatial discretization schemes, compact schemes, spectrally 
optimized DRP schemes, two versus multitime level time 
integration schemes, metrics of scientific computing. Large 
Eddy Simulation (LES) of fluid flows using filters, numerical 
filters and their band limiting abilities, control of 
spurious q-waves and aliasing error, multidimensional 
filters.
 
Event record first posted on May 10, 2018, last modified on May 30, 2018

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