How to Install and Uninstall libjsr166y-java Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 15,2024

1. Install "libjsr166y-java" package

Here is a brief guide to show you how to install libjsr166y-java on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libjsr166y-java
            
                    
    
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2. Uninstall "libjsr166y-java" package

Please follow the steps below to uninstall libjsr166y-java on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libjsr166y-java
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libjsr166y-java package on Ubuntu 21.04 (Hirsute Hippo)

Package: libjsr166y-java
Architecture: all
Version: 1.7.0-2.1
Priority: optional
Section: universe/java
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Java Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 740
Filename: pool/universe/libj/libjsr166y-java/libjsr166y-java_1.7.0-2.1_all.deb
Size: 610884
MD5sum: 2c0084f00b1ea5840f3c3cec4df18ccc
SHA1: 465be735e3557d93cb33bf143ab82d627b827987
SHA256: ecb8507dc4008bdcc3e3f49b3090f918c0c158d8e95bc5eb99fef4327d76cf36
SHA512: 371c8e8faa8ae88ae29c56e532e9b8c0ebe25c05f60f58193010109ebe37bbc425b1f0423494704cc75fe298249385146b73c3189141adceef4e56c1d7a51a25
Homepage: http://g.oswego.edu/dl/concurrency-interest/
Description-en: Parallel computation framework for Java
Java framework that supports a style of parallel programming
in which problems are solved by (recursively) splitting them
into subtasks that are solved in parallel, waiting for them
to complete, and then composing results.
.
Fork/Join parallelism is among the simplest and most
effective design techniques for obtaining good parallel
performance. Fork/Join algorithms are parallel versions
of familiar divide-and-conquer algorithms.
.
JSR166y includes a parallel computation framework:
ForkJoinTasks and their related support classes provide a
very efficient basis for obtaining platform-independent
parallel speed-ups of computation-intensive operations.
Description-md5: 0fd1b2470f9e15d91dc3e4c2a7705ef7