How to Install and Uninstall llvm7-polly Package on openSUSE Leap
Last updated: February 24,2025
1. Install "llvm7-polly" package
Please follow the guidance below to install llvm7-polly on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
llvm7-polly
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2. Uninstall "llvm7-polly" package
Please follow the guidance below to uninstall llvm7-polly on openSUSE Leap:
$
sudo zypper remove
llvm7-polly
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3. Information about the llvm7-polly package on openSUSE Leap
Information for package llvm7-polly:
------------------------------------
Repository : Main Repository
Name : llvm7-polly
Version : 7.0.1-150100.3.22.2
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 3.6 MiB
Installed : No
Status : not installed
Source package : llvm7-7.0.1-150100.3.22.2.src
Upstream URL : http://www.llvm.org
Summary : Polly is a high-level loop and data-locality optimizer and optimization infrastructure for LLVM.
Description :
Polly uses an abstract mathematical representation based on integer polyhedra
o analyze and optimize the memory access pattern of a program. We currently
perform classical loop transformations, especially tiling and loop fusion to
improve data-locality. Polly can also exploit OpenMP level parallelism, expose
SIMDization opportunities. Work has also be done in the area of automatic GPU
code generation.
------------------------------------
Repository : Main Repository
Name : llvm7-polly
Version : 7.0.1-150100.3.22.2
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 3.6 MiB
Installed : No
Status : not installed
Source package : llvm7-7.0.1-150100.3.22.2.src
Upstream URL : http://www.llvm.org
Summary : Polly is a high-level loop and data-locality optimizer and optimization infrastructure for LLVM.
Description :
Polly uses an abstract mathematical representation based on integer polyhedra
o analyze and optimize the memory access pattern of a program. We currently
perform classical loop transformations, especially tiling and loop fusion to
improve data-locality. Polly can also exploit OpenMP level parallelism, expose
SIMDization opportunities. Work has also be done in the area of automatic GPU
code generation.