Color disk usage on Fedora

January 21, 2012

For this tip, you would need to setup the rpm-shere repository. You can get the information here. Once you have done that you need to install the cdu package with the following command:

sudo yum install cdu

And then you can use “cdu” to view the disk usage in all beautiful colors with the command:

cdu

and the output looks like this:

cdu screenshot

cdu screenshot

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Technorati Tags: amit agarwal, Fedora, FedoraProject, Gnome, GNU GRUB, Linux, Operating system, Package Management, Projects, rpm, RPM Package Manager, System Management, ubuntu

Here is one repository that you can add to your Fedora to give it a few more hundred packages:

cat >/etc/yum.repos.d/rpm-sphere.repo <<EOF
[rpm-sphere]
name=RPM Sphere
baseurl=http://download.opensuse.org/repositories/home:/zhonghuaren/Fedora_16/
gpgkey=http://download.opensuse.org/repositories/home:/zhonghuaren/Fedora_16/repodata/repomd.xml.key
enabled=1
gpgcheck=1
EOF
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Technorati Tags: Fedora, Linux, Linux distribution, Operating system, repository, rpm, RPM Package Manager, Uniform Resource Locator

Have you ever wanted to have a quick check on your CPU performance. I know that lot of people will say that this is not the right way to do this, but here is something that you can use to check the CPU speed.

#!/bin/bash -
#===============================================================================
#
#          FILE:  benchmark.sh
#
#         USAGE:  ./benchmark.sh
#
#   DESCRIPTION:  Benchmark the CPU
#
#       OPTIONS:  ---
#  REQUIREMENTS:  ---
#          BUGS:  ---
#         NOTES:  ---
#        AUTHOR: Amit Agarwal (aka), amit.agarwal@roamware.com
#       COMPANY: Roamware India Pvt Ltd
#       CREATED: 09/21/2011 11:46:03 AM IST
# Last modified: Wed Sep 21, 2011  12:22PM
#      REVISION:  ---
#===============================================================================

add ()
{
    COUNTER=0
    exec 2>&1
    time=$(exec 2>&1;(time while [[  $COUNTER -lt 100000 ]]; do ((COUNTER++)) \
        ; done))
    echo "Time for 100000 additions is "$time
}	# ----------  end of function add  ----------
mul ()
{
    COUNTER=0
    test=2
    exec 2>&1
    time=$(exec 2>&1;(time while [[  $COUNTER -lt 100000 ]]; do ((COUNTER++)) \
        ; ((test=test*2));done))
    echo "Time for 100000 mul is "$time
}	# ----------  end of function add  ----------
div ()
{
    COUNTER=0
    test=1000000000000
    exec 2>&1
    time=$(exec 2>&1;(time while [[  $COUNTER -lt 100000 ]]; do ((COUNTER++)) \
        ; (( test=test/2)); done)|tr -d '\n')
    echo "Time for 100000 divisions is "${time}
}	# ----------  end of function add  ----------

time add
time mul
time div

And here is the output :

Time for 100000 additions is  real 0m1.166s user 0m1.089s sys 0m0.074s

real    0m1.168s
user    0m1.089s
sys    0m0.074s
Time for 100000 mul is  real 0m1.862s user 0m1.778s sys 0m0.082s

real    0m1.863s
user    0m1.779s
sys    0m0.082s
Time for 100000 divisions is  real 0m1.916s user 0m1.825s sys 0m0.089s

real    0m1.918s
user    0m1.825s
sys    0m0.090s

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Technorati Tags: amit agarwal, android, benchmark, Central processing unit, JavaScript, Microsoft SQL Server, nvidia, Nvidia Tegra, Performance and Capacity, sql

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