Improving performance

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This article provides information on basic system diagnostics relating to performance as well as steps that may be taken to reduce resource consumption or to otherwise optimize the system with the end-goal being either perceived or documented improvements to a system's performance.

The basics

Know your system

The best way to tune a system is to target bottlenecks, or subsystems which limit overall speed. The system specifications can help identify them.

  • If the computer becomes slow when large applications (such as and Firefox) run at the same time, check if the amount of RAM is sufficient. Use the following command, and check the "available" column:
$ free -h
  • If boot time is slow, and applications take a long time to load at first launch (only), then the hard drive is likely to blame. The speed of a hard drive can be measured with the hdparm command:
# hdparm -t /dev/sdx

hdparm indicates only the pure read speed of a hard drive, and is not a valid benchmark. A value higher than 40MB/s (while idle) is however acceptable on an average system.

  • If CPU load is consistently high even with enough RAM available, then lowering CPU use should be a priority. This can be monitored in several ways, for example with htop:
$ htop
  • If only applications using direct rendering are slow (i.e those which use the GPU, such as video players and games), then improving GPU performance should help. The first step is to verify if direct rendering is actually enabled. This is indicated by the glxinfo command:
$ glxinfo | grep direct

glxinfo is part of the mesa-demos package.

The first thing to do

The simplest and most efficient way of improving overall performance is to run lightweight environments and applications.


The effects of optimization are often difficult to judge. They can however be measured by benchmarking tools.

Storage devices

Multiple hardware paths

Tango-edit-clear.pngThis article or section needs language, wiki syntax or style improvements.Tango-edit-clear.png

Reason: Subjective writing (Discuss in Talk:Improving performance#)

An internal hardware path is how the storage device is connected to your motherboard. There are different ways to connect to the motherboard such as TCP/IP through a NIC, plugged in directly using PCIe/PCI, Firewire, Raid Card, USB, etc. By spreading your storage devices across these multiple connection points you maximize the capabilities of your motherboard, for example 6 hard-drives connected via USB would be much much slower than 3 over USB and 3 over Firewire. The reason is that each entry path into the motherboard is like a pipe, and there is a set limit to how much can go through that pipe at any one time. The good news is that the motherboard usually has several pipes.

More Examples

  1. Directly to the motherboard using pci/PCIe/ata
  2. Using an external enclosure to house the disk over USB/Firewire
  3. Turn the device into a network storage device by connecting over tcp/ip

Note also that if you have a 2 USB ports on the front of your machine, and 4 USB ports on the back, and you have 4 disks, it would probably be fastest to put 2 on front/2 on back or 3 on back/1 on front. This is because internally the front ports are likely a separate Root Hub than the back, meaning you can send twice as much data by using both than just 1. Use the following commands to determine the various paths on your machine.

USB Device Tree
$ lsusb -tv
PCI Device Tree
$ lspci -tv


Make sure that your partitions are properly aligned.

Multiple drives

If you have multiple disks available, you can set them up as a software RAID for serious speed improvements.

Creating swap on a separate disk can also help quite a bit, especially if your machine swaps frequently.

Layout on HDDs

If using a traditional spinning HDD, your partition layout can influence the system's performance. Sectors at the beginning of the drive (closer to the outside of the disk) are faster than those at the end. Also, a smaller partition requires less movements from the drive's head, and so speed up disk operations. Therefore, it is advised to create a small partition (10GB, more or less depending on your needs) only for your system, as near to the beginning of the drive as possible. Other data (pictures, videos) should be kept on a separate partition, and this is usually achieved by separating the home directory (/home/user) from the system (/).

Choosing and tuning your filesystem

Choosing the best filesystem for a specific system is very important because each has its own strengths. The File systems article provides a short summary of the most popular ones. You can also find relevant articles here.

Mount options

The noatime option is known to improve performance of the filesystem.

Other mount options are filesystem specific, therefore see the relevant articles for the filesystems:


The data=writeback mount option improves speed, but may corrupt data during power loss. The notail mount option increases the space used by the filesystem by about 5%, but also improves overall speed. You can also reduce disk load by putting the journal and data on separate drives. This is done when creating the filesystem:

# mkreiserfs –j /dev/sda1 /dev/sdb1

Replace /dev/sda1 with the partition reserved for the journal, and /dev/sdb1 with the partition for data. You can learn more about reiserfs with this article.

Tuning kernel parameters

There are several key tunables affecting the performance of block devices, see sysctl#Virtual memory for more information.

USB storage devices

Tango-inaccurate.pngThe factual accuracy of this article or section is disputed.Tango-inaccurate.png

Reason: Commands still unclear (Discuss in Talk:Improving performance#)

If USB drives like pendrives are slow to copy files, append these three lines in a systemd tmpfile:

(this should not be needed anymore: [1])

w /sys/kernel/mm/transparent_hugepage/enabled - - - - madvise
w /sys/kernel/mm/transparent_hugepage/defrag - - - - madvise
w /sys/kernel/mm/transparent_hugepage/khugepaged/defrag - - - - 0

See also [2], [3] and [4].

Tuning IO schedulers

The kernel officially supports the following schedulers for storage disk in-/output (IO):

Unofficial support is available through the BFQ (Budget Fair Queueing) which is compiled the linux-zen kernel as well as many kernels in the AUR.

A more contemporary option (since kernel version 3.16) is Multi-Queue Block IO Queuing Mechanism or blk-mq for short. Blk-mq leverages a CPU with multiple cores to map I/O queries to multiple queues. The tasks are distributed across multiple threads and therefore to multiple CPU cores (per-core software queues) and can speed up read/write operations vs. traditional I/O schedulers.

One can be enable blk-mq by adding the following to the kernel's boot line:

Note: Using blk_mq is an all-or-nothing proposition. When enabled all IO schedulers are disabled which is fine for SSDs but doing this may negatively impact performance of rotational discs.

Tango-edit-clear.pngThis article or section needs language, wiki syntax or style improvements.Tango-edit-clear.png

Reason: Theoretical background should be described at the top or the bottom, not in the middle. Use subsections to make the structure more clear. (Discuss in Talk:Improving performance#)

A HDD has spinning disks and head that move physically to the required location. Such structure leads to following characteristics:

  • random latency is quite high, for modern HDDs it is ~10ms (ignoring a disk controller write buffer).
  • sequential access provides much higher throughput. In this case the head needs to move less distance.

If we have a lot of running processes that make IO requests to different parts of storage (i.e. random access) then we can expect that a disk handles ~100 IO requests per second. Because modern systems can easily generate load much higher than 100 requests per second we have a queue of requests that have to wait for access to the storage. One way to improve throughput is to linearize access, i.e. order waiting requests by its logical address and always choose the closest request. Historically this was the first Linux IO scheduler called elevator scheduler.

One of the problems with the elevator algorithm is that it makes suffer processes with sequential access. Such processes read a block of data then process it for several microseconds then read next block and so on. The elevator scheduler does not know that the process is going to read another block nearby and, thus, moves to another request at some other location. To overcome the problem anticipatory IO scheduler was added. For synchronous requests this algorithm waits for a short amount of time before moving to another request.

While these schedulers try to improve total throughput they also might leave some unlucky requests waiting for a very long time. As an example, imagine the majority of processes make requests at the beginning of storage space while an unlucky process makes a request at the other end of storage. So developers tried to make the algorithm more fair and the deadline scheduler was added. It has a queue ordered by address (the same as elevator). If some request sits in this queue for a long time then it moves to an "expired" queue ordered by expire time. The scheduler checks the expire queue first and processes requests from there and only then moves to elevator queue. It is important to understand that this algorithm sacrifices total throughput for fairness.

Tango-inaccurate.pngThe factual accuracy of this article or section is disputed.Tango-inaccurate.png

Reason: The CFQ scheduler now contains optimizations for SSDs. (Discuss in Talk:Improving performance#)

CFQ (the default scheduler nowadays) aggregates all ideas from above and adds cgroup support that allows to reserve some amount of IO to a specific cgroup. It is useful on shared (and cloud) hosting - users who paid for 20 IO/s want to get their share if needed.

Tango-inaccurate.pngThe factual accuracy of this article or section is disputed.Tango-inaccurate.png

Reason: The deadline scheduler can perform better than noop even for SSDs. (Discuss in Talk:Improving performance#)

The characteristics of a SSD are different. It does not have moving parts. Random access is as fast as sequential one. An SSD can handle multiple requests at the same time. Modern devices' throughput ~10K IO/s, which is higher than workload on most systems. Essentially a user cannot generate enough requests to saturate a SDD, the requests queue is effectively always empty. In this case IO scheduler does not provide any improvements. Thus, it is recommended to use the noop scheduler for an SSD.

Tango-inaccurate.pngThe factual accuracy of this article or section is disputed.Tango-inaccurate.png

Reason: Bits below were restored from [5]. The blk-mq scheduler discussed above may be activated differently. (Discuss in Talk:Improving performance#)

It is possible to change the scheduler at runtime and even to use different schedulers for separate storage devices at the same time. Available schedulers can be queried by viewing the contents of /sys/block/sdX/queue/scheduler (the active scheduler is denoted by brackets):

$ cat /sys/block/sdX/queue/scheduler
noop deadline [cfq]

Users can change the active scheduler at runtime without the need to reboot, for example:

# echo noop > /sys/block/sdX/queue/scheduler

This method is non-persistent and will be lost upon rebooting.

Kernel parameter (for a single device)

If the sole storage device in the system is an SSD, consider setting the I/O scheduler for the entire system via the elevator=noop kernel parameter.


If you have more than one storage device, or wish to avoid clutter on the kernel cmdline, you can set the I/O scheduler via systemd-tmpfiles:

w /sys/block/sdX/queue/scheduler - - - - noop

For more detail on systemd-tmpfiles see Systemd#Temporary files.

Using udev for one device or HDD/SSD mixed environment

Though the above will undoubtedly work, it is probably considered a reliable workaround. Ergo, it would be preferred to use the system that is responsible for the devices in the first place to implement the scheduler. In this case it is udev, and to do this, all one needs is a simple udev rule.

To do this, create the following:

# set deadline scheduler for non-rotating disks
ACTION=="add|change", KERNEL=="sd[a-z]", ATTR{queue/rotational}=="0", ATTR{queue/scheduler}="deadline"

Of course, set Deadline/CFQ to the desired schedulers. Changes should occur upon next boot. To check success of the new rule:

$ cat /sys/block/sdX/queue/scheduler  # where X is the device in question
Note: In the example sixty is chosen because that is the number udev uses for its own persistent naming rules. Thus, it would seem that block devices are at this point able to be modified and this is a safe position for this particular rule. But the rule can be named anything so long as it ends in .rules.)

Power management configuration

When dealing with traditional rotational disks (HDD's) you may want to lower or disable power saving features completely.

Reduce disk reads/writes

Avoiding unnecessary access to slow storage drives is good for performance and also increasing lifetime of the devices, although on modern hardware the difference in life expectancy is usually negligible.

Note: A 32GB SSD with a mediocre 10x write amplification factor, a standard 10000 write/erase cycle, and 10GB of data written per day, would get an 8 years life expectancy. It gets better with bigger SSDs and modern controllers with less write amplification. Also compare [6] when considering whether any particular strategy to limit disk writes is actually needed.

Show disk writes

The iotop package can sort by disk writes, and show how much and how frequently programs are writing to the disk. See iotop(8) for details.

Relocate files to tmpfs

Relocate files, such as your browser profile, to a tmpfs file system, for improvements in application response as all the files are now stored in RAM:

Compiling in tmpfs

See Makepkg#Improving compile times.

Disabling journaling on the filesystem

Warning: Using a filesystem with journaling disabled is data loss as a result of an ungraceful dismount (i.e. post power failure, kernel lockup, etc.). With modern SSDs, Ted Tso advocates that journaling can be enabled with minimal added read/write cycles under most circumstances.

Using a journaling filesystem such as ext4 on an SSD without a journal is an option to decrease read/writes. With ext4, this is done by enabling the nointegrity option. See Fstab.

Swap space

See Swap#Swappiness.


There are few ways to get more performance:

  • Overclock the CPU. Please note that most CPUs cannot be overclocked (locked by the vendor).
    • Nehalem (Core i#) CPUs already use overclocking (Turbo technology). This limits the possibilities of overclocking heavily (unless you use liquid cooling).
  • Change the CPU governor


The only way to directly improve CPU speed is overclocking. As it is a complicated and risky task, it is not recommended for anyone except experts. The best way to overclock is through the BIOS. When purchasing your system, keep in mind that most Intel motherboards are notorious for disabling the capability to overclock.

Many Intel i5 and i7 chips, even when overclocked properly through the BIOS or UEFI interface, will not report the correct clock frequency to acpi_cpufreq and most other utilities. This will result in excessive messages in dmesg about delays unless the module acpi_cpufreq is unloaded and blacklisted. The only tool known to correctly read the clock speed of these overclocked chips under Linux is i7z. The i7z and i7z-gitAUR packages are available.

A way to modify performance (ref) is to use Con Kolivas' desktop-centric kernel patchset, which, among other things, replaces the Completely Fair Scheduler (CFS) with the Brain Fuck Scheduler (BFS).

Kernel PKGBUILDs that include the BFS patch can be installed from the AUR or Unofficial user repositories. See the respective pages for linux-ckAUR and Linux-ck wiki page, linux-pfAUR and Linux-pf wiki page for more information on their additional patches.

Note: BFS/CK are designed for desktop/laptop use and not servers. They provide low latency and work well for 16 CPUs or less. Also, Con Kolivas suggests setting HZ to 1000. For more information, see the BFS FAQ and Kernel patch homepage of Con Kolivas.


VeryNice is a daemon, available in the veryniceAUR package, for dynamically adjusting the nice levels of executables. The nice level represents the priority of the executable when allocating CPU resources. Simply define executables for which responsiveness is important, like X or multimedia applications, as goodexe in /etc/verynice.conf. Similarly, CPU-hungry executables running in the background, like make, can be defined as badexe. This prioritization greatly improves system responsiveness under heavy load.


Ananicy is a daemon, available in the ananicy-gitAUR package, for auto adjusting the nice levels of executables. The nice level represents the priority of the executable when allocating CPU resources.


See cgroups.


The purpose of irqbalance is distribute hardware interrupts across processors on a multiprocessor system in order to increase performance. It can be controlled by the provided irqbalance.service.


As with CPUs, overclocking can directly improve performance, but is generally recommended against. There are several packages in the AUR, such as amdoverdrivectrlAUR (ATI) and nvclockAUR (NVIDIA).

Xorg.conf configuration

Graphics performance may depend on the settings in /etc/X11/xorg.conf; see the NVIDIA, ATI and Intel articles. Improper settings may stop Xorg from working, so caution is advised.


driconf is a small utility which allows to change direct rendering settings for open source drivers. Enabling HyperZ may improve performance.

RAM and swap

Root on RAM overlay

If running off a slow writing medium (USB, spinning HDDs) and storage requirements are low, the root may be run on a RAM overlay ontop of read only root (on disk). This can vastly improve performance at the cost of a limited writable space to root. See liverootAUR.

Zram or zswap

The zram kernel module (previously called compcache) provides a compressed block device in RAM. If you use it as swap device, the RAM can hold much more information but uses more CPU. Still, it is much quicker than swapping to a hard drive. If a system often falls back to swap, this could improve responsiveness. Using zram is also a good way to reduce disk read/write cycles due to swap on SSDs.

Similar benefits (at similar costs) can be achieved using zswap rather than zram. The two are generally similar in intent although not operation: zswap operates as a compressed RAM cache and neither requires (nor permits) extensive userspace configuration.

Example: To set up one lz4 compressed zram device with 32GiB capacity and a higher-than-normal priority (only for the current session):

# modprobe zram
# echo lz4 > /sys/block/zram0/comp_algorithm
# echo 32G > /sys/block/zram0/disksize
# mkswap --label zram0 /dev/zram0
# swapon --priority 100 /dev/zram0

To disable it again, either reboot or run

# swapoff /dev/zram0
# rmmod zram

A detailed explanation of all steps, options and potential problems is provided in the official documentation of the module here.

The systemd-swap package provides a systemd-swap.service unit to automatically initialize zram devices. Configuration is possible in /etc/systemd-swap.conf.

The package zramswapAUR provides an automated script for setting up such swap devices with optimal settings for your system (such as RAM size and CPU core number). The script creates one zram device per CPU core with a total space equivalent to the RAM available, so you will have a compressed swap with higher priority than regular swap, which will utilize multiple CPU cores for compessing data. To do this automatically on every boot, enable zramswap.service.

Swap on zRAM using a udev rule

The example below describes how to set up swap on zRAM automatically at boot with a single udev rule. No extra package should be needed to make this work.

First, enable the module:


Configure the number of /dev/zram nodes you need.

options zram num_devices=2

Create the udev rule as shown in the example.

KERNEL=="zram0", ATTR{disksize}="512M" RUN="/usr/bin/mkswap /dev/zram0", TAG+="systemd"
KERNEL=="zram1", ATTR{disksize}="512M" RUN="/usr/bin/mkswap /dev/zram1", TAG+="systemd"

Add /dev/zram to your fstab.

/dev/zram0 none swap defaults 0 0
/dev/zram1 none swap defaults 0 0

Using the graphic card's RAM

In the unlikely case that you have very little RAM and a surplus of video RAM, you can use the latter as swap. See Swap on video ram.


Every time a connection is made, the system must first resolve a fully qualified domain name to an IP address before the actual connection can be established. Response times of network requests can be improved by caching DNS queries locally. Common tools for this purpose include pdnsd, dnsmasq, unbound and rescached-gitAUR.