How to Install and Uninstall cl-lparallel Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "cl-lparallel" package

Please follow the guidance below to install cl-lparallel on Ubuntu 21.10 (Impish Indri)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                cl-lparallel
            
                    
    
    Copied

2. Uninstall "cl-lparallel" package

This guide let you learn how to uninstall cl-lparallel on Ubuntu 21.10 (Impish Indri):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                cl-lparallel
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the cl-lparallel package on Ubuntu 21.10 (Impish Indri)

Package: cl-lparallel
Architecture: all
Version: 20160825-1.1
Priority: optional
Section: universe/lisp
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dimitri Fontaine
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 320
Depends: cl-alexandria, cl-bordeaux-threads
Filename: pool/universe/c/cl-lparallel/cl-lparallel_20160825-1.1_all.deb
Size: 45148
MD5sum: d09b3557bf6825c0bb3d39acc8490f5c
SHA1: 027b5ef13c1f6bba8e0663cc6bc6364d783575ff
SHA256: 9feecde256e68975cf4c42b955ba7b9b798f3e158f03ab3a707ee93ec71afe36
SHA512: 1cdee635928740f4a319e1b221503b4bc7adf1da75375e7f2e72a724bafc0b38bb3137b5ff02960d2ef1b5fc7d94c5cbd48c86af1def64571bf474e09cc4854e
Homepage: http://lparallel.org/
Description-en: parallel programming in Common Lisp
lparallel is a library for parallel programming in Common Lisp, featuring a
simple model of task submission with receiving queue, constructs for
expressing fine-grained parallelism, asynchronous condition handling across
thread boundaries, parallel versions of map, reduce, sort, remove, and many
others promises, futures, and delayed evaluation constructs, computation
trees for parallelizing interconnected tasks bounded and unbounded FIFO
queues, high and low priority tasks, task killing by category and
integrated timeouts.
Description-md5: fbc37d426440f858baa7adb1aaeb2bb1