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On-demand and auto performance optimizer for Linux applications

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GitHub release PyPI AUR AUR-staging License kofi

guapow is an on-demand and auto performance optimizer for Linux applications. This project's name is an abbreviation for Guarana powder (Guaraná is a fruit from the Amazon rainforest with a highly caffeinated seed).

Key features

  • Changing applications priorities and CPU times
  • Changing applications IO priorities
  • Changing applications CPU scheduling policies (including realtime)
  • Changing CPU energy policy
  • Changing applications CPU cores affinities
  • Changing CPU cores frequency governors
  • Changing GPU power mode (only Nvidia and AMD devices at the moment)
  • Custom scripting
  • Optimization profiles
  • Auto optimize all your Steam game library without having to edit Launch Options
  • And more...

Index

  1. Installation
  2. Quick start
  3. Optimizations
  4. Tweaks
  5. Components
  6. Improving optimizations timing
  7. Tutorials
  8. Roadmap
  9. Donations
  • Distribution: AUR package
  • Installing with yay: yay -S guapow
  • Installing manually (requires pacman and git installed)
git clone  https://aur.archlinux.org/guapow.git
cd guapow
makepkg -si
  • Distribution: PyPi package
  • Requires Python 3.8 or higher (versions bellow have not been tested, but may work) and pip installed
  • Ubuntu 20.04 based-distros dependencies: sudo apt-get install python3 python3-pip python3-aiofiles python3-aiohttp python3-pycryptodome
  • Installation: sudo pip3 install guapow

Quick start

1. Starting the Optimizer service

  • After installing guapow, its optimizer service must be started and enabled (the current definition requires systemd installed). The optimizer service is the component responsible to apply most of the available optimizations.

  • To start and enable the service, you can use the utility tool guapow-cli or do it manually (described below). Both methods require systemctl installed.

    • Method 1: Starting and enabling with guapow-cli

          guapow-cli install-optimizer  # may require sudo for non-root users
      
    • Method 2: Starting and enabling manually

      • Download the service definition file and move it to /usr/lib/systemd/system
      • To start and enable it: type systemctl enable --now guapow-opt.service (may require sudo for non-root users)
  • To check:

    • if the service is running, type ps -Ao pid,comm | grep guapow-opt
    • the service logs, type: journalctl -efu guapow-opt.service

2. Testing guapow

  • To quickly test guapow, you have to use the guapow command to start and optimize a target application. The example below starts the vlc media player:

    GUAPOW_CONFIG="cpu.performance proc.nice=-1" guapow vlc
    
    • The environment variable GUAPOW_CONFIG should be used to define the optimizations that must be applied when the target application starts. In the example above two were defined:

      • cpu.performance: changes all CPUs frequency governors to performance (for supported Intel cpus, also the energy policy level)
      • proc.nice=-1: defines a CPU nice level for the started application. In simple words: a negative nice level will give more CPU priority and time for the application (more on this here)
    • The guapow command is responsible to start a target application and requests the defined optimizations for it.

  • How to check if the optimizations were applied ?

    • Nice level: type ps -Ao comm,nice | grep vlc
    • CPUs governors: type cat /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor
    • CPU energy policies (supported Intel CPUs only):: type cat /sys/devices/system/cpu/cpu*/power/energy_perf_bias (values must be 0)
    • Optimizer service logs: type journalctl -efu guapow-opt.service
  • When you close the optimized vlc, the optimizer service should rollback the CPU governors changes (use the commands above to re-checking)

3. Using a profile file

  • Instead of defining the environment variable GUAPOW_CONFIG with all the wanted optimization settings for every application, you can create a profile file.
  • The guapow-cli tool can generate a few pre-defined profiles (that can be changed or removed later). To generate the default profile file, type the command: guapow-cli gen-profile default
  • This command should generate a file called default.profile in ~/.config/guapow (or /etc/guapow for root users)
  • You can quickly check the file content by typing the following command: cat ~/.config/guapow/default.profile (or cat /etc/guapow/default.profile)
  • To specify which profile should be used when calling guapow, you have to define the environment variable GUAPOW_PROFILE=profile_name (without the extension .profile). Example below:

GUAPOW_PROFILE=default guapow vlc

  • By default, if you do not specify neither the GUAPOW_PROFILE variable nor GUAPOW_CONFIG, the guapow command assumes that you are requesting optimizations based on a profile named default. In other words: the command guapow vlc would be equivalent to GUAPOW_PROFILE=default guapow vlc

  • If both GUAPOW_PROFILE and GUAPOW_CONFIG were defined, GUAPOW_PROFILE will be ignored.

  • Existing profile file priority:

    • for non-root users: ~/.config/guapow/{name}.profile > /etc/guapow/{name}.profile
    • for root users: /etc/guapow/{name}.profile
  • If a given profile file does not exist:

    • if it is not named default, guapow will try to load a profile called default.
    • if the default profile does not exist, no optimization will be applied.

4. Auto-optimizing applications with the Watcher service

  • If you are not willing to add the guapow command for every applicaton you want to optimize, you can the enable the watcher service.

  • The watcher service keeps looking for mapped applications/commands to be optimized, and request optimizations for them when they start.

  • Two ways of starting and enabling it:

    • a) Using the guapow-cli tool:
      • type: guapow-cli install-watcher (do not run this command with sudo, unless you are root: this service ideally should be run at the user level)
    • b) Manual installation:
      • Download the service definition file and move it to ~/.config/systemd/user
      • To start and enable it: type systemctl enable --user --now guapow-opt.service
  • To check:

    • if the service is running: type ps -Ao pid,comm | grep guapow-watch
    • the service logs: type: journalctl --user -efu guapow-watch.service
  • To define which applications should be watched, you have to create (or edit) the watch.map file (located at ~/.config/guapow or /etc/guapow for root users). If the file does not exist, create it before proceeding.

  • Edit the file and add the following content: vlc

  • After that, start the vlc application normally and check if the optimizations defined in the default profile were applied.

  • To map applications to diferrent profiles, you can use the pattern: command_name=profile_name. Example:

        vlc=media
        tuxracer=game 
    
  • If the mapping line only contains the application name, the default profile is assumed.

  • The watcher service supports wild-cards and Python regex patterns for processes names or commands (more on that here)

  • This topic describes every possible change that can be applied to the system and the target process to improve its performance and experience.
  • They can be defined through:
    • the GUAPOW_CONFIG environment variable (example)
    • a profile file (example)
  • The nice level of a given application helps defining its CPU priority and time.
  • Property definition: proc.nice=level (e.g: proc.nice=-2).
  • The level is an integer within the range (-20 to 19). Negative values have higher prioprity.
  • The application nice level is changed after the target application starts (only once by default)
  • Some applications change their nice level when initializing and can conflict with this optimization goal . To avoid such scenarios, it is possible to keep monitoring the target application's nice level through the property proc.nice.watch (or proc.nice.watch=true).
    • The monitoring interval can be changed on the Optimizer service settings (property nice.check.interval).
  • It is possible add a delay for the renicing task using the property proc.nice.delay=seconds
    • The seconds must be an integer (proc.nice.delay=1) or float (proc.nice.delay=0.5) higher than zero.
  • By default, applications generally start with a nice level of 0 (-20 its intended for very important system tasks).
  • Every time your application needs to write or read something from the disk, it competes with other applications.

  • The applications I/O needs are split into classes. The supported classes are described below:

    • best_effort: default class. Divided in 8 levels (from 0 to 7). Lower levels have higher priority (e.g: 0 > 1).
    • idle: for applications that should only perform I/O operations when no other application is doing so.
    • realtime: first access to the disk. Divided in 8 levels (like best_effort). Not allowed for non-root users.
  • This optimization requires the ionice command installed.

  • Property definition:

    • proc.io.class=class_name (e.g: proc.io.class=best_effort)
    • proc.io.nice=level: an integer within 0 and 7. 0 is the default value for classes supporting priority. (e.g: proc.io.nice=1)
  • The application I/O niceness is changed after the target application starts.

  • The application IO class and priority can be checked though the command: ionice -p pid

  • Applications CPU scheduling behavior are split into policies.

  • The supported policies are described below:

    • other: default CPU time-sharing scheduling.

    • idle: should be defined for applications with very low priority.

    • batch: should be defined for non-interactive CPU-intensive applications.

    • fifo: should be defined for very important applications. A FIFO application will lock the CPUs until it finishes to execute the demanded instructions. This policy is divided into priority groups from 1 to 99. Higher values = higher priority.

    • rr (round-robin): similar to fifo, but the applications have a limited time slice to execute with others of the same policy and priority.

    • The policies fifo and rr are designed for realtime applications and have higher priorities than the others. Applications associated with these policies can interrupt other running processes in order to execute. They should be used with care, since they can lock the entire system.

  • Properties definitions:

    • proc.policy=policy_name (e.g proc.policy=rr)
    • proc.policy.priority=value: value must be an integer between 1 and 99 (only supported by fifo and rr)
  • The application CPU scheduling is changed after the target application starts.

  • CPU affinity means the instructions requested by a given application will be executed by determined CPU cores.

  • Some applications performance can be improved when tied to less CPU cores, while keeping the other cores free for other tasks (like graphics rendering).

  • Property definition: proc.affinity=cpu or proc.affinity=cpu0,cpu1

  • Example 1 (affinity for CPUs 0 and 1):

    proc.affinity=0
    proc.affinity=1
    
  • Example 2 (affinity for CPUs 2 and 3): proc.affinity=2,3

  • The application CPU affinity is changed after the target application starts.

  • The application CPU affinity can be checked though the command: taskset -pc pid

  • The scaling governor is responsible for managing the CPU cores clock frequencies.
  • The performance governor keeps the supported higher clocks whenever possible without caring too much about energy saving. In theory, the CPUs will be able to handle more instructions in less time.
  • Property definition:
    • cpu.performance (equivalents: cpu.performance=true or cpu.performance=1)
  • The optimizer will keep the performance governor until the optimized application finishes. It handles the state if two or more optimized applications require cpu.performance. So if application A and B require cpu.performance and A finishes after a while, the performance governor will be kept until B finishes.
  • The governor is changed after the target application starts.
  • Only available for supported Intel CPUs (generally laptop ones)
  • The CPU energy policy level defines how much of energy should be saved. It ranges from 0 (no savings, full performance) to 15 (full power saving). More info here.
  • Property definition:
    • cpu.performance (equivalents: cpu.performance=true or cpu.performance=1)
  • The optimizer will keep the performance energy policy level (0) until the optimized application finishes. It handles the state if two or more optimized applications require cpu.performance. So if application A and B require cpu.performance and A finishes after a while, the performance level will be kept until B finishes.
  • The energy policy level is changed after the target application starts.
  • The GPU drivers can provide pre-defined power modes for different usages. Some modes focus on energy-saving, while others on performance (higher clocks ands memory transfer rate).
  • Property definition:
    • gpu.performance (equivalents: gpu.performance=true or gpu.performance=1)
  • For guapow, performance would match the performance power mode for Nvida, and compute mode for AMD (Intel devices are currently not supported).
  • The performance mode will not overclock your GPU.
  • Nvidia users require nvidia-settings and nvidia-smi installed.
  • The optimizer service will keep the performance state until the optimized application finishes. It handles the state if two or more optimized applications require gpu.performance. So if application A and B require gpu.performance and A finishes after a while, the performance state will be kept until B finishes.
  • The power mode is changed after the target application starts.
  • Window compositors are responsible for managing the window/desktop effects, and prevent visual glitches (like screen tearing). They generally come pre-bundled with desktop environments, window managers and distributions.
  • Some applications perform better when the compositor is disabled (e.g: games)
  • Not supported for wayland sessions
  • Currently supported compositors:
    • kwin (KDE desktop environment)
    • xfwm4 (XFCE desktop environment)
    • marco (Mate desktop environment)
    • compton/picom
    • compiz
    • nvidia (driver. More on that here)
  • Property definition:
    • compositor.off (equivalents: compositor.off=true or compositor.off=1)
  • The optimizer service will keep the compositor disabled until the optimized application finishes. It handles the state if two or more optimized applications require compositor.off. So if application A and B require compositor.off and A finishes after a while, the disabled state will be kept until B finishes.
  • The optimizer service tries to guess the installed compositor (requires inxi installed) on the first request defining compositor.off. So the first request will take more time, then the subsequent ones. To prevent that, the installed compositor can be predefined on the optimizer service settings.
  • Nvidia compositor:
    • available when ForceCompositionPipeline (or ForceFullCompositionPipeline) are defined on the X11 or user settings.
    • the optimizer service is not able to detect it by default, so you have to pre-define it through the optimizer service settings.
  • The compositor is disabled after the target application starts.
  • Some applications can impact the performance of others while running at the same time.

  • guapow allows to stop target applications while the optimized one is running. The applications can be stopped at two possible moments:

    • before the application to be optimized starts
    • right after the application to be optimized has started
  • Property definition:

    • stop.{moment}=name_1,name_2,...
  • Example:

    stop.before=a
    stop.before=b
    stop.before=c,d  # multiple can be defined on the same line using commas
    stop.after=f,g
  • In the example above:

    • applications a, b, c and d will be stopped before the application to be optimized starts
    • applications f and g will be stopped right after the application to be optimized starts
  • The optimizer service will not restart the stopped applications when the optimized application finishes, unless the property stop.{moment}.relaunch (or stop.{moment}.relaunch=true) is defined. Example:

    stop.before=a,b 
    stop.before.relaunch  # 'a' and 'b' will be restarted when the optimized application finishes
    
    • The optimizer service will not relaunch stopped applications while there are other optimized applications running that require them stopped.
  • stop.before is only available for applications started through the runner.

  • guapow can execute custom commands and scripts in three possible moments:

    • before the application to be optimized starts
    • right after the application to be optimized has started
    • when the optimized application finishes (finish)
  • Property definition: scripts.{moment}=command_or_script_path_1,command_or_script_path_2,...

  • Examples:

    scripts.before=vlc,firefox  # vlc and firefox commands
    scripts.before=/home/user/my_script.sh  # my_script.sh path
    scripts.after=/usr/bin/app  # app full binary path
    scripts.finish=poweroff  # poweroff command
  • In the example above:

    • commands vlc and firefox, and the script /home/user/my_script.sh will be executed before the application to be optimized starts
    • command /usr/bin/app will be executed right after the application to be optimized starts
    • command poweroff will be executed when the optimized application finishes
  • You can work with the two additional properties below if the commands/scripts should only be executed when the previous finishes:

    • scripts.{moment}.wait: will wait a script to finish before starting the next. Example:
        scripts.before=my_script.sh 
        scripts.before=my_script_2.sh 
        scripts.before.wait   # 'my_script_2.sh' will only be executed when 'my_script.sh' finishes.
    
    • scripts.{moment}.timeout: will wait the script to finish for a limited time (in seconds), otherwise the next one in the chain will be executed. Example:
        scripts.after=vlc 
        scripts.after=firefox 
        scripts.after.timeout=5.5  # 'vlc' execution will be waited for `5.5`seconds. If it does not finish, 'firefox' will be started.
    
  • Executing scripts at the root level:

    • requires the optimizer running at the root level (default installation).
    • root execution is disabled by default as a security mechanism. It can be enabled by adding the property scripts.allow_root (or scripts.allow_root=true) to the optimizer service settings.
    • to request scripts execution at the root level, you have also to add the property scripts.{moment}.root (or scripts.{moment}.root=true) to the configuration or profile file. Example:
       scripts.after=/path/to/my_script.sh
       scripts.after=/path/to/my_script_2.sh
       scripts.after.root  # with this property defined, both scripts above will be executed as root
    
    • scripts.before does not suport root execution (unless the user calling the guapow command is root)
  • Some applications do not hide the mouse pointer by default, and can spoil the user experience.
  • Property definition:
    • mouse.hidden (equivalents: mouse.hidden=true or mouse.hidden=1)
  • Requires unclutter installed (it does not support wayland at the moment)
  • The mouse pointer will be hidden after the target application starts.
  • The optimizer service will keep the mouse pointer hidden until the optimized application finishes. It handles the state if two or more optimized applications require mouse.hidden. So if application A and B require mouse.hidden and A finishes after a while, the pointer will be kept hidden until B finishes.
  • You can defined specific environment variables to be added or removed when launching the target application.
  • Possible property definitions (they can be declared several times):
    • proc.env=MY_VAR:MY_VAR_VALUE # the variable name and value are separated with the symbol :
    • proc.env=VAR_TO_REMOVE # when no separator (:) is declared, the variable is removed
  • Example:
    proc.env=COLOR:red (adds the environment variable named 'COLOR' with 'red' as value)
    proc.env=THEME:dark (adds another environment variable)
    proc.env=LD_PRELOAD  # (removes the environment variable named 'LD_PRELOAD')
    
  • This feature has been added focusing on profile files (to keep all settings in one place).
  • This feature is only available when the application is launched through the runner.
  • If the actual application to be optimized is a child of the target process, how can I tell guapow to optimize it instead ?

  • guapow understand this sort of application as a launcher. It is possible to provide a mapping telling that when application A starts optimizes B instead.

  • Two possible ways:

    • a) Providing the mapping through the configuration/profile property launcher=exe_name:name_or_command. Several launchers can be defined. Example:
        launcher=abc:abc-full  # this would map the executable 'abc' to an application named 'abc-full'. So 'abc-full' would be optimized instead of 'abc'
        launcher=def:def-bin   # this would map the executable 'def' to an application named 'def-bin'. So 'def-bin' would be optimized instead of 'def'
    
    • b) Providing all mapping through the launchers file located in ~/.config/guapow (for non-root users) or /etc/guapow (for global or root usage) following the pattern exe_name=name_or_command. The advantage of this approach is that you don't have to provide a per-profile/configuration mapping. But at the same time, tons of mappings may impact the matching process time. Example:
    abc=abc-full
    def=def-bin
    fgh=/fgh-java.sh
    
  • Wild-cards: the asterisk symbol * can be used when you want to match anything inside a word. Example:

    vlc=vlc-*  # the first started application whose name starts with 'vlc-' would be optimized instead of 'vlc'
  • Name matching: by default guapow considers an application name (comm) matching if the mapped word does not start with a forward-slash (/). You can force a name matching by starting the word with the prefix n%. Examples:
    abc=def  # as 'def' does not starts with a forward-slash, guapow will look for an application named 'def'
    fgh=n%/xpto  # as the prefix 'n%' was provided, guapow will look for an application named '/xpto'
  • Command matching: by default guapow considers an application command (cmdline) matching if the mapped word starts with a forward-slash (/). You can force a command matching by starting the word with the prefix c%. Examples:
    abc=/abc-full  # as 'abc-full' starts with a forward-slash, guapow will look for an application launched with the command '/abc-full'
    def=c%xpto  # as the prefix 'c%' was provided, guapow will look for an application launched with the command 'xpto'
  • If you want to skip the launchers mapping process for a given configuration/profile, use the property launcher.skip_mapping (or launcher.skip_mapping=true)
  • Some examples of games mappings reported to work can be found here.
  • guapow has a tweak to look for the right Steam game executable to be optimized. This tweak is disabled by default. To enable it, you have to add the property steam (or steam=true) to your configuration or profile file.
  • You can auto-optimize all your Steam games by following this tutorial.
  • The runner is responsible for launching a target application and request optimizations for it.

  • To launch a target application you have to use the command guapow. There are 3 possible ways to inform the wanted optimizations:

    • a) GUAPOW_CONFIG environment variable: you can provide all the optimization properties with this variable separated by commas.
    GUAPOW_CONFIG="cpu.performance proc.nice=-1" guapow abc  # starts 'abc' and request some optimizations for it
    
    • b) A profile file (/.config/guapow/{name}.profile or /etc/guapow/{name}.profile) and the environment variable GUAPOW_PROFILE. The variable value must consist of the profile file name without the extension.
        GUAPOW_PROFILE=media guapow abc  # starts 'abc' and requests the optimizations defined in the profile file '~/.config/guapow/media.profile`
    

    c) If you launch a command without defining the environment variables described above, guapow considers that you are requesting optimizations based on a profile file called default. In other words: guapow command is equivalent to GUAPOW_PROFILE=default guapow command

  • It is possible to define extra optimization properties on-demand for a given profile through the environment variable GUAPOW_PROFILE_ADD (follows the same pattern as the environment variable GUAPOW_CONFIG).

   GUAPOW_PROFILE=media GUAPOW_PROFILE_ADD="compositor.off" guapow abc  # requests optimizations declared in the 'media' profile + 'compositor.off'
  • To use the runner for launching Steam games, you can change the game Launch options and add something like: GUAPOW_PROFILE=steam guapow %command% (or GUAPOW_CONFIG="properties" guapow %command%). Make sure to add the steam property to your configuration/profile for better optimization handling.

  • Logs:

    • Logs can be enabled through the environment variable GUAPOW_LOG=1 (1 enables / 0 disables)
    • They can be written to a file through the environment variable GUAPOW_LOG_FILE=1 (log directory: ~/.local/share/guapow/log)
  • The optimizer service is responsible to apply most of the optimizations and tweaks to a target application and/or the system.

  • Ideally, it should be run at the root level, otherwise some optimizations will not be possible.

  • It applies the optimizations changes only once per optimization request. So, if it changes the CPUs governors to performance, and you manually change them later to something else, it will not set the governors to performance again (unless another optimization request arrives).

  • Service definition file

  • By default, it runs at port 5087 and demands encrypted requests for security reasons (all done automatically).

    • Its settings are defined on the files: ~/.config/guapow/opt.conf (user) or /etc/guapow/opt.conf (system). Preference: user > system (if running as root, system is the only option)
          port = 5087 (TCP port)
          compositor = (pre-defines the installed compositor. Options: kwin, compiz, marco, picom, compton, nvidia)
          scripts.allow_root = false (allow custom scripts/commands to run at the root level)
          check.finished.interval = 3 (finished applications checking interval in seconds. Min accepted value: 0.5)
          launcher.mapping.timeout = 60 (maximum time in seconds to look for a process mapped to a different process. This property also affects the period to look for Steam subprocesses.  float values are allowed)
          launcher.mapping.found_timeout = 10 (maximum time in seconds to still keep looking for a process mapped to a different process after a match. This property also affects the period to look for Steam subprocesses.  float values are allowed)
          gpu.cache = false (if 'true': maps all available GPUs once after the first request (if running as a system service) or during startup (if not running as system service). Otherwise, GPUs will be mapped for every request)
          gpu.id = # comma separated list of integers representing which GPU cards should be optimized (e.g: 0, 1). If not defined, all available GPUs are considered (default)
          gpu.vendor =  # pre-defines your GPU vendor for faster GPUs mapping. Supported: nvidia, amd
          cpu.performance = false  (set cpu governors and energy policy levels to full performance on startup)
          request.allowed_users = (restricts users that can request optimizations, separated by comma. e.g: root,xpto)
          request.encrypted = true (only accepts encrypted requests for security reasons)
          profile.cache = false (cache profile files on demand to skip I/O operations. Changes to profile files require restarting)
          profile.pre_caching = false (loads all existing profile files on disk in memory during the intialization process. Requires 'profile.cache' enabled)
          nice.check.interval = 5  (processes nice levels monitoring interval in seconds)  
          optimize_children.timeout: maximum period in seconds to keep looking for the target process children (default: 30). 0 can be defined if children should be ignored.
          optimize_children.found_timeout: maximum period in seconds to still keep looking for the target process children after a child in found (default: 10). 0 can be defined if the search process should be interrupted immediately after a child is found.
      
  • Its installation can be managed using the guapow-cli tool:

    • guapow-cli install-optimizer: copies the service definition file to the appropriate directory, starts and enables it.
    • guapow-cli uninstall-optimizer: revert changes from the command below.
  • For manual installation, check here.

  • Logs:

    • Logs are managed through the environemnt variables:
      • GUAPOW_OPT_LOG: enables/disables logs. Options: 1 (enables, default) and 0 (disables).
      • GUAPOW_OPT_LOG_LEVEL: controls the type of logging. Options: info, debug, error and warning (debug is the most detailed type). Default: info.
    • if the optimizer is running as a service, these variables can be changed on the definition file (/usr/lib/systemd/system/guapow-opt.service)
    • Logs can be viewed through the command: journalctl -efu guapow-opt.service
  • The watcher is an optional service that can automatically requests optimizations. It keeps looking for new started applications matching its mapping settings.

  • It should ideally run at the user level, as it should act as the user.

  • Its installation can be managed using the guapow-cli tool:

    • guapow-cli install-watcher: copies the service definition file to the appropriate directory, starts and enables it.
    • guapow-cli uninstall-watcher: revert changes from the command below.
  • For manual installation, check here.

  • Application mappings are defined on the file ~/.config/guapow/watch.map (user) or /etc/guapow/watch.map (system). Preference: user > system (if running as root, system is the only option).

  • Mappings patterns: name_or_command=profile_file_name

    • if the first word of the pair starts with a forward-slash (/) it will be considered a command match, otherwise a name match. Example:
      abc=media   # maps an application named 'abc' to the 'media' profile (~/.config/guapow/media.profile)
      /bin/def=power  # maps an application started with the command '/bin/def' to the 'power' profile  (~/.config/guapow/power.profile)
      
    • Wild-card: the asterik symbol * can be used in the name/command as a replacement for anything. Example:
          a*bc=media  # maps a process named 'a[anything]bc' to the 'media' profile
          /bin/*=power  # map any process started with the command '/bin/{anything}' to the 'power' profile
      
    • Regex: if you want to provide your own Python regex, you can start the word with the prefix r:
      r:/bin/.+/xpto=media  # all applications started with commands following the pattern '/bin/[anything]/xpto' will be mapped to the 'media' profile
      r:abc.+=power  # all applications named 'abc[anything]' will be mapped to the 'power' profile
      
    • Built-in patterns:
      • Pre-defined words following the pattern __word__ that are evaulated as a regex.
        • __steam__: defines a regex for any game launched through Steam (native and Proton). Example here.
  • Ignoring processes: it is possible to define patterns to ignore specific processes through the file ~/.config/guapow/watch.ignore (user) (or /etc/guapow/watch.ignore (system)). Preference: user > system (if running as root, system is the only option).

    • this file follows the same mapping rules as watch.map, but you don't need to provide the profile names (as it makes no sense). e.g:
      my_app_name
      my_app_name*  
      /bin/my_proc
      r:/bin/.+/xpto
      
    • this feature is useful if you have general mappings that cover a lot of processes in watch.map (e.g: /usr/bin/*), but want to ignore specific ones
  • Settings

    • Defined at the file ~/.config/guapow/watch.conf (user) or /etc/guapow/watch.conf (system). Preference: user > system (if running as root, system is the only option).
         interval = 1 (in seconds to check for new-born applications and request optimizations)
         regex.cache = true (caches pre-compiled regex mapping patterns in memory)
         mapping.cache = false (if 'true', caches the all mapping in memory to skip I/O calls. Changes to watch.map won't have effect until the service is restarted.
         ignored.cache = false (if 'true', caches the all ignored patterns in memory to skip I/O calls. Changes to watch.ignore won't have effect until the service is restarted.
      
  • Logs:

    • Logs are managed through the environment variables:
      • GUAPOW_WATCH_LOG: enables/disables logs. Options: 1 (enables, default), 0 (disables).
      • GUAPOW_WATCH_LOG_LEVEL: controls the type of logging that should be printed. Options: info, debug, error and warning (debug is the most detailed type). Default: info.
    • If the watcher is running as a service, these variables can be changed on the definition file (~.config/systemd/user/guapow-watch.service)
    • Logs can be viewed through the command: journalctl --user -efu guapow-watch.service
  • guapow provides a CLI tool called guapow-cli providing utility commands.
  • You can check the available commands by typing: guapow-cli --help
  • Some of the available commands:
    • [install-uninstall]-optimizer: install/uninstalls the optimizer service (requires root).
    • [install-uninstall]-watcher: install/uninstalls the watcher service.
    • gen-profile name: generates a pre-defined profile. Check the available profiles through the --help parameter.

The optimizations timing can be improved by tweaking some of guapow components settings:

  • Optimizer settings file

    • If you feel that your system and network environments are secure, you can disable the optimization requests encryption through the property request.encrypted=false. This can save time, since the request encryption/decryption process is heavy.
    • If you do not change your profile files frequently, you can enable the properties profile.cache=true and profile.pre_caching=true. This can save time, since all the defined profiles files are pre-loaded in memory during the service initialization and will not be read for every request.
    • You can pre-define your GPU vendor for faster GPUs mapping through the property gpu.vendor=vendor_name.
    • If your GPU drivers are always loaded during the system initialization, you can safely enable the property gpu.cache=true to skip the GPUs mapping for every request. This property is not enabled by default, since hybrid-gpu users might load their dGPU drivers on demand.
    • Pre-defining your window compositor will also save time for the first request (since the "guess" process will be skipped). You can define it through the compositor={name} property.
  • Watcher settings file

    • If you do not change your watcher mappings frequently, you can enable the property mapping.cache=true to skip the reading calls for every checking iteration.
  • Requires the watcher service installed and enabled (more on that here)

  • Add the following entry to the watcher mapping file (~/.config/guapow/watch.map or /etc/guapow/watch.map):

    __steam__=steam
    
  • Now use the guapow-cli to generate a Steam profile template by typing:

    guapow-cli gen-profile steam
    
  • Start a Steam game and check if the optimizations were applied.

  • More built-in optimizations
  • Support more technologies and devices
  • Improve memory usage
  • You can support this project development through ko-fi.

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On-demand and auto performance optimizer for Linux applications

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