How to Install and Uninstall smem Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "smem" package
This guide covers the steps necessary to install smem on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
smem
Copied
2. Uninstall "smem" package
This is a short guide on how to uninstall smem on openSuSE Tumbleweed:
$
sudo zypper remove
smem
Copied
3. Information about the smem package on openSuSE Tumbleweed
Information for package smem:
-----------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : smem
Version : 1.5-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 56.0 KiB
Installed : No
Status : not installed
Source package : smem-1.5-2.1.src
Upstream URL : https://www.selenic.com/smem/
Summary : Application memory usage report tool
Description :
smem is a tool that can give numerous reports on memory usage on Linux
systems. Unlike existing tools, smem can report proportional set size (PSS),
which is a more meaningful representation of the amount of memory used by
libraries and applications in a virtual memory system.
Because large portions of physical memory are typically shared among
multiple applications, the standard measure of memory usage known as
resident set size (RSS) will significantly overestimate memory usage. PSS
instead measures each application's "fair share" of each shared area to give
a realistic measure.
-----------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : smem
Version : 1.5-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 56.0 KiB
Installed : No
Status : not installed
Source package : smem-1.5-2.1.src
Upstream URL : https://www.selenic.com/smem/
Summary : Application memory usage report tool
Description :
smem is a tool that can give numerous reports on memory usage on Linux
systems. Unlike existing tools, smem can report proportional set size (PSS),
which is a more meaningful representation of the amount of memory used by
libraries and applications in a virtual memory system.
Because large portions of physical memory are typically shared among
multiple applications, the standard measure of memory usage known as
resident set size (RSS) will significantly overestimate memory usage. PSS
instead measures each application's "fair share" of each shared area to give
a realistic measure.