How to Install and Uninstall libasl-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "libasl-dev" package

This tutorial shows how to install libasl-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libasl-dev
            
                    
    
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2. Uninstall "libasl-dev" package

This guide let you learn how to uninstall libasl-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libasl-dev
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libasl-dev package on Ubuntu 20.10 (Groovy Gorilla)

Package: libasl-dev
Architecture: amd64
Version: 0.1.7-2build4
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: asl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 920
Depends: libasl0 (= 0.1.7-2build4)
Suggests: asl-doc
Filename: pool/universe/a/asl/libasl-dev_0.1.7-2build4_amd64.deb
Size: 101360
MD5sum: 4f66b24804bbc5487ff2963c22952935
SHA1: f421c228290acc83314b61805dee398de5e4682e
SHA256: 835f61cbd375e1a3ca4649a52c99b0b36e6b4ca33b61e4ce11fe56db5b54e907
SHA512: 3c83e64b670cb2047474ec0dbdf714346384fdfe28df0c27298c3724146fcb58cbaa355e5070381de481fa2b3fd2824a1081b5749763c5ef44e646e9012c8cb9
Homepage: http://asl.org.il
Description-en: development files for ASL
The Advanced Simulation Library (ASL) is a free and open source hardware
accelerated multiphysics simulation platform (and an extensible general
purpose tool for solving Partial Differential Equations).
.
Its computational engine is written in OpenCL and utilizes matrix-free
solution techniques which enable extraordinarily high performance,
memory efficiency and deployability on a variety of massively parallel
architectures, ranging from inexpensive FPGAs, DSPs and GPUs up to
heterogeneous clusters and supercomputers. The engine is hidden entirely
behind simple C++ classes, so that no OpenCL knowledge is required from
application programmers. Mesh-free, immersed boundary approach allows one
to move from CAD directly to simulation drastically reducing pre-processing
efforts and amount of potential errors.
.
ASL can be used to model various coupled physical and chemical phenomena and
employed in a multitude of fields: computational fluid dynamics, virtual
sensing, industrial process data validation and reconciliation, image-guided
surgery, computer-aided engineering, design space exploration,
crystallography, etc...
.
This package contains the development files.
Description-md5: 3dbba1fa390ebb8d35b8fd46d42aaf2c