IBM Support

IJ36561: PDF FUNCTION SIGNATURE MISMATCH CAUSING PERFORMANCE DEGRADATION

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APAR status

  • Closed as program error.

Error description

  • Performance degradation is seen in applications compiled with
PDF optimization with the XL C/C++ for AIX, V16.1 compiler as
compared against the same applications built with the XL C/C++
for AIX, V13.1 compiler.

Local fix

  • 



Problem summary


    

  • PROBLEM DESCRIPTION:
PDF information for functions collected during the pdf1 stage
is not correctly correlated to other functions, causing reduced
optimization opportunity.

USERS AFFECTED:
Users who build applications with PDF optimization.

    



Problem conclusion


    

  • The ability to correlate PDF data was corrected, and
optimization opportunities are restored.

    



Temporary fix


    

  • 



Comments


    

  • 



APAR Information




    

  • APAR number
    IJ36561
    • 

  • Reported component name
    XL C/C++ FOR AI
    • 

  • Reported component ID
    5725C7200
    • 

  • Reported release
    G10
    • 

  • Status
    CLOSED  PER
    • 

  • PE
    NoPE
    • 

  • HIPER
    NoHIPER
    • 

  • Special Attention
    NoSpecatt / Xsystem
    • 

  • Submitted date
    2021-12-14
    • 

  • Closed date
    2022-02-23
    • 

  • Last modified date
    2022-02-23
    • 





    

  • APAR is sysrouted FROM one or more of the following:
    

    • 

  • APAR is sysrouted TO one or more of the following:
    

    • 



Fix information


    

  • Fixed component name
    XL C/C++ FOR AI
    • 

  • Fixed component ID
    5725C7200
    • 



Applicable component levels


    








      
              
                            

              

              [{"Line of Business":{"code":"LOB57","label":"Power"},"Business Unit":{"code":"BU058","label":"IBM Infrastructure w\/TPS"},"Product":{"code":"SSGH3R","label":"XL C\/C++ for AIX"},"Platform":[{"code":"PF025","label":"Platform Independent"}],"Version":"G10"}]
              

                          

          
 
        

      

    

      

        

          

            
Document Information


            

            


                        

            Modified date:
            

            24 February 2022
            

            
                      

        


        

        


      

    

  



    

  

  
    
            

          
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