How to Install and Uninstall coz-profiler Package on Ubuntu 21.10 (Impish Indri)

Last updated: February 03,2025

1. Install "coz-profiler" package

Here is a brief guide to show you how to install coz-profiler on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                coz-profiler
            
                    
    
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2. Uninstall "coz-profiler" package

Please follow the guidelines below to uninstall coz-profiler on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                coz-profiler
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the coz-profiler package on Ubuntu 21.10 (Impish Indri)

Package: coz-profiler
Architecture: amd64
Version: 0.2.2-2
Priority: optional
Section: universe/net
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Lluís Vilanova
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 9173
Depends: libc6 (>= 2.30), libdwarf++0 (>= 0.2), libelf++0 (>= 0.2), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), python3, fonts-font-awesome, libjs-jquery, libjs-d3, libjs-d3-tip
Filename: pool/universe/c/coz-profiler/coz-profiler_0.2.2-2_amd64.deb
Size: 657952
MD5sum: 4c4ad79b5f5ef80df824c261e4af68fd
SHA1: 8cac00a7acc95413933dad9ec9764cb7ef228de0
SHA256: d3faf888db260e810828c02551e59cd017a636825544a597431928d3df555b28
SHA512: fd40a75b95dfcd38d7befc92688c2aca04c04268c170098146fddb7178dd13c5836a5dc546745f0fb282fb92417e234c61476ea2c4db0087eeaa242c65b8388e
Homepage: http://coz-profiler.org/
Description-en: Finding Code that Counts with Causal Profiling
Coz is a code profiler that find optimization opportunities
missed by traditional profilers. Coz employs a technique called
causal profiling that measures optimization potential. This measurement
matches developers' assumptions about profilers: that optimizing
highly-ranked code will have the greatest impact on performance. Causal
profiling measures optimization potential for serial, parallel, and
asynchronous programs without instrumentation of special handling for
library calls and concurrency primitives. Instead, a causal profiler
uses performance experiments to predict the effect of
optimizations. This allows the profiler to establish causality:
"optimizing function X will have effect Y," exactly the measurement
developers had assumed they were getting all along.
Description-md5: bd06ad3ef15124be956a5814dc6562a3