How to Install and Uninstall pocl.x86_64 Package on CentOS Stream 9

Last updated: November 21,2024

1. Install "pocl.x86_64" package

Here is a brief guide to show you how to install pocl.x86_64 on CentOS Stream 9


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                pocl.x86_64
            
                    
    
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2. Uninstall "pocl.x86_64" package

This guide covers the steps necessary to uninstall pocl.x86_64 on CentOS Stream 9:


    
        
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                sudo dnf remove
            
                        
                pocl.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the pocl.x86_64 package on CentOS Stream 9

Last metadata expiration check: 2:43:13 ago on Sat Mar 16 16:03:45 2024.
Available Packages
Name : pocl
Version : 3.1
Release : 2.el9
Architecture : x86_64
Size : 14 M
Source : pocl-3.1-2.el9.src.rpm
Repository : epel
Summary : Portable Computing Language - an OpenCL implementation
URL : https://github.com/pocl/pocl
License : MIT AND BSD-1-Clause AND (GPL-3.0-or-later OR LGPL-3.0-or-later)
Description : Pocl's goal is to become an efficient open source (MIT-licensed) implementation
: of the OpenCL 1.2 (and soon OpenCL 2.0) standard.
:
: In addition to producing an easily portable open-source OpenCL implementation,
: another major goal of this project is improving performance portability of
: OpenCL programs with compiler optimizations, reducing the need for
: target-dependent manual optimizations.
:
: At the core of pocl is the kernel compiler that consists of a set of LLVM
: passes used to statically transform kernels into work-group functions with
: multiple work-items, even in the presence of work-group barriers. These
: functions are suitable for parallelization in multiple ways (SIMD, VLIW,
: superscalar,...).