<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=http://email.email.llvm.org/c/eJy1VE1vnDAQ_TVwsWoZf2EOHDaJcsoqkZq2ZwMGHHkxMpA0_77GYVkrm56qIkuMPX4zz37jqWzzXj73yimgJyDBqFxr3UkOtQJOdU5Nk7YD0AOYewVuZKXM99kpeQJyHI2u5by633o1gGXSQwceRzUcn4BtW2Nl41cg-BEct0YOXZaFOHEW24alOJxnsi611hj75rEJOSToLkGHhKNthOn9MtQB4L_jzfuspgTfT6r2M084wcLbCS5Wr_wNzt_hVTnZqWB_xLm14_vZy7IcUwFRjgFAEKEM0bC-2oSI3c4y9gE-LgZcwIznAjLBrsGYsQiMP8CHprmAOeE5gazItk2UXACMR_Z2_Gen5RnOGOHEe8kO3rP5OBGYk-3Qd3beU2e4KDIBi_V86y6aXVL769ht6qN-qcSvXhu1VcDDw88jyCjo9Kv6JCQYllOl3PS_BL2WkxKCRAGL_VKj02CRX-5lPfq1oJRgkXGIWX4NJyyG0zM8lpRyQUUOUVFs29aq2iCMR0wQ2tnHqtKcekUh39nn6KIFispDsKicY2ULnnMCeSilkDWqQo5YxIaAz9KmTUmaghQylcvcW1e-9ItXj6eLM2U_z2PQEd_70enZ-2BtT35izOv592109kXVs5_qaVqCnr5SaZb2JRYNZ1zmHFFJGiaFUhQxkvvXU1eYVqlZu81UJuwmwdj6vnIavZGwu_Tf0-sSI-yHL2_sX6mAOa0rhVCrUFO1Rd0kFKmT1AaucaB1XerKELJausk7jZ7m6eKUvk92g1Ib2-2mNrqzno0qt874uHdG8PTXZhs12jQwLwPtP8rWgPs>53641</a>
        </td>
    </tr>

    <tr>
        <th>Summary</th>
        <td>
            OpenMP Offloading Performance regression in BabelStream
        </td>
    </tr>

    <tr>
      <th>Labels</th>
      <td>
            openmp
      </td>
    </tr>

    <tr>
      <th>Assignees</th>
      <td>
            jhuber6
      </td>
    </tr>

    <tr>
      <th>Reporter</th>
      <td>
          jhuber6
      </td>
    </tr>
</table>

<pre>
    There is a performance regression in the BabelStream application when using OpenMP offloading. Using Clang11 the performance of the application is the following:
```
Function    MBytes/sec  Min (sec)   Max         Average     
Copy        517248.072  0.00104     0.00338     0.00115
Mul         515678.585  0.00104     0.00255     0.00112
Add         563673.591  0.00143     0.00156     0.00150
Triad       553630.031  0.00145     0.01436     0.00163 
Dot         129918.938  0.00413     0.00724     0.00445 
```
While using LLVM 14 gives the following numbers:
```
Function    MBytes/sec  Min (sec)   Max         Average   
Copy        433089.991  0.00124     0.00287     0.00138  
Mul         432816.257  0.00124     0.00357     0.00134  
Add         468487.099  0.00172     0.00564     0.00200   
Triad       474031.691  0.00170     0.00403     0.00185     
Dot         96763.643   0.00555     0.00605     0.00563  
```
</pre>
<img width="1px" height="1px" alt="" src="http://email.email.llvm.org/o/eJy1VMtunDAU_RrYWLX8tlmwmEmUVUaJ1LRdGzCPyIORgaT5-xrCMFamXRZZ4j587sPn2oWrPvKX1ngDuhFoMBhfO3_WfWmAN40349i5HnQ9mFoDjrow9vvkjT4DPQy2K_W0uN9b04N57PoGPA2mPz0DV9fW6SpYIPixOu6s7huM1zhxFlevpjhcqGQx1c5a9x6wCT0k6D5Bh0Sgba3qw9yXKyB8p-PHZMaEPIymDFooOCEqyAnJFq_-DS7f4c143ZhV_oxz54aPi5djSZiCSBIAEEQII7baF5lStcsY80_wabbgCuZCKsgVvwUTziMw-QQfquoKFlRICnmGt02MXgFcRPLW_ovv9AXOORU0eOkO3rOFOBFY0K3pezftqTHJMqxgtvS37GL4mjocxy6zEPWvTPxqO2u2CXh8_HkCmIGmezNfiAT9fC6MH_8Xobd0MkqRymC2H2rUDVHyei5L67eEMkoUFpBweQunPIazCzymlAnFlIQoy7Zty1RtEC6iShDaq49ZZZIFRqHYq5foygWKxkPxaJxjZjMhBYViHaU1azSFAvGoGgq-UptWOa0ymul06iZr8u1qP-1XGzz_87WIXop09jZvp2lYaScPYTXd1M4FLN05KNa-XX7fBu9eTTkFtRvHeaU_DDbDaZtjVWVVJWlRMIUqjpTGkqtSmkJXgtUmtUvKMU_4MSHEhVrPQxASfp92OUEkrDDLJFxJBSUrC4NQbVBV1FlZJQyZs-4sXIqAzjepz9d6irkZg9N24zRenTq02fTGbLleQy_Giy2ZnqfW-Xwzpmsf-drEHxT0bFA">