Thursday, June 28, 2018
Sunday, June 24, 2018
Thursday, October 26, 2017
11:11 AM
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Tips on Linux - 1
Some things to make life simple while working remotely on Linux machines from an Ubuntu machine.
SSHFS
Easily mount your remote directory using SSHFS (on Ubuntu)
Terminator
A no-hassle multi-terminal worker, smooth as butter and fast switching between terminals.
Installing terminator,
sudo add-apt-repository ppa:gnome-terminator
sudo apt-get update
sudo apt-get install terminator
Setting up Terminator in "Open in Terminator"
( Source : https://askubuntu.com/questions/76712/setting-nautilus-open-terminal-to-launch-terminator-rather-than-gnome-terminal )
We may define our own right-click context menu items with nautilus-actions.
- Run the Nautilus-Actions Configuration Tool either from the Dash, or from a terminal with
nautilus-actions-config-tool
- In the Action tab give your action a sensible label, e.g. "Open in Terminator" and choose to display this in the selection or the context menu.
- Next open the Command tab to enter the commands to run
- Give in the full path to your command (
/usr/bin/terminator) and program options (--working-directory=%d/%b) for opening the current path in Terminator. - After logging out and in again (or just restarting nautilus with
nautilus -q) the right click context menu below will be displayed:
Friday, October 13, 2017
Tuesday, June 21, 2016
4:52 PM
No comments
Parallel Programming (Video Tutorials)
0. Usage of Maths & Computing libraries
1. Introduction to parallel programming
2. Getting started with OpenMP
3. Advanced MPI Part 1 & 2
4. Introduction to Parallel performance engineering
5. Hybrid OpenMP + MPI programming
6. CUDA Programming basics, GPU Programming unleashing parallel computing
Thursday, February 4, 2016
9:17 PM
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NASA has published a video showing the unnoticed magnetic fields of the Sun. We all know that Sun is a star having magnetic forces but the pattern among those magnetic fields were not completely understood until now.
Wednesday, November 11, 2015
4:13 PM
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ARCHER UK National Supercomputing Facility have introduced some video tutorials.
Many may give insight into the practical usage for scientific computing stuff.Some topics that are covered in the tutorials are;
Using Make, PetSc, Version Control, PBS scripting, OpenMP + MPI coding, etc
ARCHER Weblink
YouTube Link
Wednesday, July 22, 2015
11:01 AM
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https://www.youtube.com/watch?v=JfaSUcectHI
https://www.youtube.com/watch?v=GRswo4agntM
--By Simulate Smartly
Please do comment, suggest, correct and add to our posts
https://www.youtube.com/watch?v=GRswo4agntM
--By Simulate Smartly
Please do comment, suggest, correct and add to our posts
Tuesday, April 28, 2015
Tuesday, February 3, 2015
12:12 PM
No comments
Automatic Differentiation - for CFD
Automatic Differentiation (AD) deals with differentiating a single / multi variable function w.r.t a set of independent parameters. Simply, its a package which differentiates a function, and function is given by a piece of code.
This is particularly helpful in CFD in the case of implicit algorithms, where the Flux Jacobian is required. Of course, there are other ways of computing the Jacobian, like Numerical Differentiation, but it is computationally very expensive.
We think TAPENADE package (and even MATLAB - Symbolic toolbox) is a good place to start in AD. The package takes the function, its dependent and independent variables and gives the differential (a slope - in case of single variable and Jacobian - in case of multi-variable function).
As an example, the process of deriving the analytical flux Jacobians for the Roe flux formulation is tedious and may result in incorrect evaluation of the Jacobians. An efficient alternative to avoid both hand-derived Jacobians and computationally expensive finite-difference evaluation or Numerical differentiation of the Jacobians, is to generate the flux Jacobians using automatic-differentiation. Auto-differentiation uses the chain-rule to calculate the derivative of a function, in this case the flux formulation. In this method the flux formulation is passed as a differentiable function to the auto-differentiation package (TAPENADE). This generates the analytical expressions of the flux Jacobians.
Alternative info, obviously on AD on Wiki
TAPENADE Documentation
Tuesday, January 20, 2015
5:01 PM
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CFD Lectures (Comprehensive)
Lecture 1 - Introduction and first illustrations of CFD
Lecture 2 - Introduction to turbulence - Linear isotropic closures
Lecture 3 - Turbulence models - Towards non-linear anisotropic models
Lecture 4 - Hybrid LES turbulence closures
This last lecture concerning turbulence closures will be devoted to a brief description of LES and Hybrid LES turbulence closures. Illustrations will be provided on automotive flows.
Lecture 5 - Unstructured finite volume discretisation
This lecture is the first of a series of three lectures which will be devoted to the methodology used to build a generalized unstructured finite volume discretization.
Lecture 6 - Unstructured finite volume discretisation
Second part of the course on generalized unstructured finite volume discretization methods.
Lecture 7 - Pressure equation
To take into account the incompressibility of the flow and find the pressure, it is necessary to build a pressure equation. This lecture will be devoted to this topic and to the specific mass flux reconstruction schemes.
Lecture 8 - Fully coupled formulation and free surface capturing strategies
This lecture will present alternate strategies to solve the coupling between mass and momentum conservation equations. Free-surface capturing methodologies and specific compressive discretization schemes will be also presented
Lecture 9 - Various illustrations of up-to-date computations
This presentation shows some recent CFD applications devoted to viscous ship hydrodynamics
Lecture 10 - Verifcation and Validation - Part 1
Lecture 11 - Verifcation and Validation - Part 2
This lecture will describe the current recommended procedures used to verify and validate a numerical result obtained with the help of CFD. A new 2D procedure for estimating the local discretization error will be also presented.
Link to Source to find animations as well !
Friday, January 9, 2015
7:53 PM
No comments
http://lsec.cc.ac.cn/lcfd/DEWENO/dg_code.htm
The above link is a Fortran77 code on the solution of burgers equation which uses DG and WENO for polynomial truncation of non linear terms to compute 1D conservation laws.....
Have a nice time!! enjoy coding!!! :)
The above link is a Fortran77 code on the solution of burgers equation which uses DG and WENO for polynomial truncation of non linear terms to compute 1D conservation laws.....
Have a nice time!! enjoy coding!!! :)
Thursday, December 25, 2014
4:46 PM
2 comments
Here is a bit on Fortran basics. There will be a continuation of this with functions, subroutines and modules. If there are any mistakes, please do point out. Thanks.
Fortran_verybasics.pdf
Fortran_verybasics.pdf
Friday, December 12, 2014
Monday, December 8, 2014
12:00 PM
No comments
Hyperbolic, Convection dominated flows -- Lectures by Toro & Chi Wang Shu
This link shows the video of Toro talking about Hyperbolic equations and finite volume and DG frameworks. This lecture is very helpful to get a better understanding and kind of a crash course about solving hyperbolic equations the numerical schemes that can used for specific problems their properties and so on...
If you are interested in higher order methods and more of DG methods, follow the videos by Chi Wang Shu.
This channel on YouTube Link to Channel, will be very helpful to follow on lectures for convection dominated problems and higher order methods.
Have a good time breaking your head and finding the way around these very beautifully built numerical schemes!!! Enjoy!!! :) And we are open for discussions!!!
Wednesday, November 19, 2014
4:42 PM
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Thursday, October 30, 2014
Monday, October 27, 2014
2:00 PM
No comments
Parallel debugging (MPI) - Part 1
Ahem, ahem, searching a needle in a hay stack is easy compared to parallel debugging in MPI, or as a matter parallel debugging. Having overstated the problem in our hands, there are few solutions or workarounds of how to get our hands in the dirty waters and have some fun.
There are two ways (as always) to get our work done, either use free tools or give an arm or leg to buy a fancy debugger.
2. Free debuggers, gdb / valgrind to some extent, Eclipse PTP, etc
(Let us know for any others out there)
Read complete article by the chaps at OpenMPI.
1. gdb
gdb can be used as follows;
mpirun -np <NP> xterm -e gdb ./program |
This the launches xterm windows in which I can do
run <arg1> <arg2> ... <argN> |
Should work the same with ddd (GUI for gdb)
2. valgrind (more at this link)
First of all, you have to make sure that Valgrind 3.2.0 or later is installed, and Open MPI is compiled with Memchecker enabled. Then simply run you application with Valgrind, e.g.:
mpirun -np 2 valgrind ./program |
Sunday, October 26, 2014
6:30 PM
1 comment
Hello all,
I would like to bring in your attention about the power of python, for application in scientific computing. Whilst many people use Fortran,C/C++ for scientific python, a lot of tasks can be automated such as plotting graphs, creating contours calling several external libraries and coupling codes without the need of mixed language programming.
Here's a quick and basic introduction to scipy (Scientific python) which describes the scientific computing based in python:
Click here
Please do comment, suggest, correct and add to our posts
I would like to bring in your attention about the power of python, for application in scientific computing. Whilst many people use Fortran,C/C++ for scientific python, a lot of tasks can be automated such as plotting graphs, creating contours calling several external libraries and coupling codes without the need of mixed language programming.
Here's a quick and basic introduction to scipy (Scientific python) which describes the scientific computing based in python:
Click here
Please do comment, suggest, correct and add to our posts
Friday, October 24, 2014
12:29 PM
No comments
CFD Post-processing in Blender
To generate colourful pictures
Tools needed : paraview and Blender
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