How to install LAPACK and BLAS library on Linux

To install LAPACK and BLAS library on Ubuntu, just type :

sudo apt-get install liblapack-dev

This automatically installs the LAPACK and BLAS library.
In my computer, this library was installed in this address:  /usr/lib/lapack/

In order to use the lapack library to compile and run the code, one needs
to use the following command:

ifort ProgranmName.f90 -L /usr/lib/lapack/ -llapack


Another useful command to check the existence of subroutines and functions
in the LAPACK and BLAS library, we can use

readelf -s /usr/lib/lapack/liblapack.so.* | grep -i NameOfSubroutine

Useful links for more infos: Link1, Link2

35 - How to install Anaconda on Ubuntu 16

The following tutorial of Anaconda is taken from HERE.

Anaconda is an open-source package manager, environment manager, and distribution of the Python and R programming languages. It is commonly used for large-scale data processing, scientific computing, and predictive analytics, serving data scientists, developers, business analysts, and those working in DevOps.

Anaconda offers a collection of over 720 open-source packages, and is available in both free and paid versions. The Anaconda distribution ships with the conda command-line utility. You can learn more about Anaconda and conda by reading the Anaconda Documentation pages.

This tutorial will guide you through installing the Python 3 version of Anaconda on an Ubuntu 16.04 server.

Prerequisites

Before you begin with this guide, you should have a non-root user with sudo privileges set up on your server. You can learn how to do this by completing our Ubuntu 16.04 initial server setup guide.

Installing Anaconda

The best way to install Anaconda is to download the latest Anaconda installer bash script, verify it, and then run it.

Find the latest version of Anaconda for Python 3 at the Anaconda Downloads page. At the time of writing, the latest version is 4.2.0, but you should use a later stable version if it is available.

Next, change to the /tmp directory on your server. This is a good directory to download ephemeral items, like the Anaconda bash script, which we won't need after running it.

• cd /tmp

Use curl to download the link that you copied from the Anaconda website:

• curl -O https://repo.continuum.io/archive/Anaconda3-4.2.0-Linux-x86_64.sh

We can now verify the data integrity of the installer with cryptographic hash verification through the SHA-256 checksum. We’ll use the sha256sum command along with the filename of the script:

• sha256sum Anaconda3-4.2.0-Linux-x86_64.sh

You’ll receive output that looks similar to this:

Output

73b51715a12b6382dd4df3dd1905b531bd6792d4aa7273b2377a0436d45f0e78 Anaconda3-4.2.0-Linux-x86_64.sh

You should check the output against the hashes available at the Anaconda with Python 3 on 64-bit Linux page for your appropriate Anaconda version. As long as your output matches the hash displayed in the sha2561 row then you’re good to go.

Now we can run the script:

• bash Anaconda3-4.2.0-Linux-x86_64.s

You’ll receive the following output:

Output

Welcome to Anaconda3 4.2.0 (by Continuum Analytics, Inc.) In order to continue the installation process, please review the license agreement. Please, press ENTER to continue

Press ENTER to continue and then press ENTER to read through the license. Once you’re done reading the license, you’ll be prompted to approve the license terms:

Output

Do you approve the license terms? [yes|no]

As long as you agree, type yes.

At this point, you’ll be prompted to choose the location of the installation. You can press ENTER to accept the default location, or specify a different location to modify it.

Output

Anaconda3 will now be installed into this location: /home/sammy/anaconda3 - Press ENTER to confirm the location - Press CTRL-C to abort the installation - Or specify a different location below [/home/sammy/anaconda3] >>> 

The installation process will continue, it may take some time.

Once it’s complete you’ll receive the following output:

Output

... installation finished. Do you wish the installer to prepend the Anaconda3 install location to PATH in your /home/sammy/.bashrc ? [yes|no] [no] >>> 

Type yes so that you can use the conda command. You’ll next see the following output:

Output

Prepending PATH=/home/sammy/anaconda3/bin to PATH in /home/sammy/.bashrc A backup will be made to: /home/sammy/.bashrc-anaconda3.bak ...

In order to activate the installation, you should source the ~/.bashrc file:

• source ~/.bashrc

Once you have done that, you can verify your install by making use of the conda command, for example with list:

• conda list

You’ll receive output of all the packages you have available through the Anaconda installation:

Output

# packages in environment at /home/sammy/anaconda3: # _license 1.1 py35_1 _nb_ext_conf 0.3.0 py35_0 alabaster 0.7.9 py35_0 ...

Now that Anaconda is installed, we can go on to setting up Anaconda environments.

Setting Up Anaconda Environments

Anaconda virtual environments allow you to keep projects organized by Python versions and packages needed. For each Anaconda environment you set up, you can specify which version of Python to use and can keep all of your related programming files together within that directory.

First, we can check to see which versions of Python are available for us to use:

• conda search "^python$"

You’ll receive output with the different versions of Python that you can target, including both Python 3 and Python 2 versions. Since we are using the Anaconda with Python 3 in this tutorial, you will have access only to the Python 3 versions of packages.

Let’s create an environment using the most recent version of Python 3. We can achieve this by assigning version 3 to the python argument. We’ll call the environment my_env, but you’ll likely want to use a more descriptive name for your environment especially if you are using environments to access more than one version of Python.

• conda create --name my_env python=3

We’ll receive output with information about what is downloaded and which packages will be installed, and then be prompted to proceed with y or n. As long as you agree, type y.

The conda utility will now fetch the packages for the environment and let you know when it’s complete.

You can activate your new environment by typing the following:

• source activate my_env

With your environment activated, your command prompt prefix will change:

• (my_env)sammy@ubuntu:~$

Within the environment, you can verify that you’re using the version of Python that you had intended to use:

• (my_env)sammy@ubuntu:~$ python --version
  

Output

Python 3.6.0 :: Continuum Analytics, Inc.

When you’re ready to deactivate your Anaconda environment, you can do so by typing:

• (my_env)sammy@ubuntu:~$ source deactivate
  

Note that you can replace the word source with . to achieve the same results.

To target a more specific version of Python, you can pass a specific version to the python argument, like 3.5, for example:

• conda create -n my_env35 python=3.5

You can update your version of Python along the same branch (as in updating Python 3.5.1 to Python 3.5.2) within a respective environment with the following command:

• (my_env)sammy@ubuntu:~$ conda update python
  

If you would like to target a more specific version of Python, you can pass that to the python argument, as in python=3.3.2.

You can inspect all of the environments you have set up with this command:

• conda info --envs
  

Output

# conda environments: # my_env /home/sammy/anaconda3/envs/my_env my_env35 /home/sammy/anaconda3/envs/my_env35 root * /home/sammy/anaconda3

The asterisk indicates the current active environment.

Each environment you create with conda create will come with several default packages:

• openssl
• pip
• python
• readline
• setuptools
• sqlite
• tk
• wheel
• xz
• zlib

You can add additional packages, such as numpy for example, with the following command:

• conda install --name my_env35 numpy

If you know you would like a numpy environment upon creation, you can target it in your conda create command:

• conda create --name my_env python=3 numpy

If you are no longer working on a specific project and have no further need for the associated environment, you can remove it. To do so, type the following:

• conda remove --name my_env35 --all

Now, when you type the conda info --envs command, the environment that you removed will no longer be listed.

Updating Anaconda

You should regularly ensure that Anaconda is up-to-date so that you are working with all the latest package releases.

To do this, you should first update the conda utility:

• conda update conda

When prompted to do so, type y to proceed with the update.

Once the update of conda is complete, you can update the Anaconda distribution:

• conda update anaconda

Again when prompted to do so, type y to proceed.

This will ensure that you are using the latest releases of conda and Anaconda.

Uninstalling Anaconda

If you are no longer using Anaconda and find that you need to uninstall it, you should start with the anaconda-clean module which will remove configuration files for when you uninstall Anaconda.

• conda install anaconda-clean

Type y when prompted to do so.

Once it is installed, you can run the following command. You will be prompted to answer y before deleting each one. If you would prefer not to be prompted, add --yes to the end of your command:

anaconda-clean

This will also create a backup folder called .anaconda_backup in your home directory:

Output

Backup directory: /home/sammy/.anaconda_backup/2017-01-25T191831

You can now remove your entire Anaconda directory by entering the following command:

• rm -rf ~/anaconda3

Finally, you can remove the PATH line from your .bashrc file that Anaconda added. To do so, first open nano:

• nano ~/.bashrc

Then scroll down to the end of the file (if this is a recent install) or type CTRL + W to search for Anaconda. Delete or comment out the following lines:

/home/sammy/.bashrc

# added by Anaconda3 4.2.0 installer export PATH="/home/sammy/anaconda3/bin:$PATH"



When you’re done editing the file, type CTRL + X to exit and y to save changes.

Anaconda is now removed from your server.

33. Installing fonts on ubuntu 14.04

Once you have your favorite fonts (FontName.ttf):

 1. Copy them to this address: /usr/share/fonts/truetype/ with the following command:
     > sudo cp FontNamd.ttf  /usr/share/fonts/truetype/

  2. To scan the font directories on the system and build font information, type in the terminal:
     > fc-cache -v  /usr/share/fonts/truetype/

31 - Finiding same files in two different directories:

Suppose we have two directories D1 and D2 which have a lot of different files.
To find which files are in common in these two directories we can use the following command in linux:

> comm -12 < (ls D1/) < (ls D2/)

30 - Installing phython libraries in Ubuntu 12.04

To install numpy, scipy and matplotlib one needs to write the following lines in the terminal:

sudo apt-get update
sudo apt-get install python-numpy python-scipy python-matplotlib

28 - Counting repetitious lines in a file:

If there are some lines in a file which are duplicated, one can count and sort them with using the following command:

$ cat filename | sort | uniq -c | sort -nr

If someone interested to delete the repetitious line from the file, the following command would be useful:

$ sort filename | uniq > filename_2

27 - restart internet connection without rebooting computer in Ubuntu

Network interface in ubuntu is down with

$ sudo ifconfig eth0 down

and it is up by

$ sudo ifconfig eth0 up

24 - Counting number of lines in a file within FORTRAN code

If you want to determine the number of line in a given file within your FORTRAN code,
you can do this following nice trick!

program count_lines
   implicit none
   integer:: n
   character(len=60):: cmd
    cmd = "cat file_name.dat | grep '[^ ]' | wc -l > nlines.txt"
    call system(cmd)
    open(1,file='nlines.txt')
    read(1,*) n
    print*, "Number of lines are", n 
    cmd = 'rm nlines.txt'
    call system(cmd)
end program

This simple code, uses linux command to find the number of lines.
Notice that  cat file_name.dat | grep '[^ ]' | wc -l  returns the number of lines in a file with ignoting the blank lines.

22 - Comment out all line in the file at once with vim editor

If you want to comment out all (some) lines in your file, you can use the following recipe:

1. press ctrl+v  and select the lines
2. press I for all highlighted lines
3. type # (for shell script) of ! (for .f90 files)
4. press Esc
5. press Esc

18 - tar an untar command in linux

For creating a tar gzipped archive we need to use tar command:

tar -cvzf File_name.tar.gz directory_name/

In this command,
c is create a new archive,
v is verbosely list files which are processed,
z is filter the archive through gzip,
f is following is the archive file name.

For extracting a gzipped tar archive (*.tar.gz) we need to use again tar command, but with appropriate option:

tar -xvzf archive_name.tar.gz

in this command, 

x is extracting files from the archive file.

15 - Line by line comparing of two files

If you want to check two different files line by line, you can use the following command:

>  vimdiff  file1   file2

In this way, in vim editor, you can see different colors (pink and red) if these two files are different.
The red color tells you that these files are different in that line.

13. Adding your own command in terminal:

For adding your own command which is doing an specific job for you, in the terminal of your  Macbook, write

1. vim ~/.profile

2. alias your_command_name = "add you optional command you needed"

for example I did like this:

alias line = "tail -n 100 Myfile.dat > out.dat"
this means that, if I write the new command, line, in the terminal, I can find the last 100 lines of  the Myfile.dat in the out.dat

3. source ~/.profile 

8- run paralel code in cluster with using nohoup command:

To run a paralel code, we should use this command:

mpirun -np 96 ./a.out

(96 = number of processors)

If you want to use nohoup command to run this code you have to 

use following command to avoid unexpectable problems.

mpirun -np 96 ./a.out < /dev/null &

In this case, some additional and sucks lines will not appear in nouhup or 

output files.

For example, I am using a job script to run the code. One of the lines in my job 

script is :

mpirun -np $number  ~/bin/dmft.cluster  >> $out < /dev/null &

where dmft.cluster is executable file and output data will store in "out" file.

6. Delete columns in a file via vim editor

For instans in a special file, you have lots of data which have been sorted by columns like this:

1     2     3     4
5     6     7     8
9    10   11   12
13  14   15   16

Now, we want to keep first and second columns and delete the rest ones.
To do this
1. press Ctrl+v (virtual block mod)
2. press G (to go to the end of the file)
3. press d (to delete highlighted columns)

5. Sum useful commands in vim editor:

Where grep came from (RE being Regular Expression):
:g/RE/p

Delete lines 10 to 20 inclusive:
:10,20d
or with marks a and b:
:'a,'bd

Delete lines that contain pattern:
:g/pattern/d

Delete all empty lines:
:g/^$/d

Delete lines in range that contain pattern:
:20,30/pattern/d
or with marks a and b:
:'a,'b/pattern/d

Substitute all lines for first occurance of pattern:
:%s/pattern/new/
:1,$s/pattern/new/

Substitute all lines for pattern globally (more than once on the line):
:%s/pattern/new/g
:1,$s/pattern/new/g

Find all lines containing pattern and then append -new to the end of each line:
:%s/\(.*pattern.*\)/\1-new/g

Substitute range:
:20,30s/pattern/new/g
with marks a and b:
:'a,'bs/pattern/new/g

More info can be found in these "website1" and "website2".

2. Search an exact word in (a) file(s) with grep command.

    For searching an expression, word, file and ... we can use 'grep' command in linux.
To find an exact word in a file(s) use 'grep' command as follows:
$ grep -w "one" *.f90
 searching of 'one' in all .f90 files in the directory is the result of this command in terminal.


more info can be found in this website.

1. Copy file from server to my laptop computer and vice versa

Use scp command. for example I have a file in /usr/users/iff_th3/kiani/Mpi_test/example-KCuF3 named 'readme' and I want to copy it to my laptop computer in this address: /Users/kiani/Desktop.


scp kiani@ifflinux:/usr/users/iff_th3/kiani/Mpi_test/example-KCuF3/readme /Users/kiani/Desktop


And if I want to copy a file called 'Makefile' in my laptop computer to my home in cluster, I should use this command while I am in the directory where 'Makefile' exists:


scp Makefile kiani@ifflinux://usr/users/iff_th3/kiani


more details can be found in this webpage.