···

       
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#### 32 Cores / 64 Threads

     

       
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For officially evaluating entries into the challenge, each contender is run on eight cores of the evaluation machine (AMD EPYC™ 7502P).

     

       
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-
       
Here are the results from running the top 50 entries (as of commit [e1fb378a](https://github.com/gunnarmorling/1brc/commit/e1fb378acce53d8c3035ee4813ae377aaf51aa3c), Feb 1) on all 32 cores / 64 threads (i.e. SMT is enabled) of the machine:

     

       
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+
       
Here are the results from running the top 50 entries (as of commit [e1fb378a](https://github.com/gunnarmorling/1brc/commit/e1fb378acce53d8c3035ee4813ae377aaf51aa3c), Feb 2) on all 32 cores / 64 threads (i.e. SMT is enabled) of the machine:

     

       
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| # | Result (m:s.ms) | Implementation     | JDK | Submitter     | Notes     |

     

       
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|---|-----------------|--------------------|-----|---------------|-----------|

     
···

       
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#### 10K Key Set

     

       
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The 1BRC challenge data set contains 413 distinct weather stations, whereas the rules allow for 10,000 different station names to occur.

     

       
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Here are the results from running the top 40 entries (as of commit [e1fb378a](https://github.com/gunnarmorling/1brc/commit/e1fb378acce53d8c3035ee4813ae377aaf51aa3c), Feb 1) against 1,000,000,000 measurement values across 10K stations (created via _./create_measurements3.sh 1000000000_),

     

       
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+
       
Here are the results from running the top 40 entries (as of commit [e1fb378a](https://github.com/gunnarmorling/1brc/commit/e1fb378acce53d8c3035ee4813ae377aaf51aa3c), Feb 2) against 1,000,000,000 measurement values across 10K stations (created via _./create_measurements3.sh 1000000000_),

     

       
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using eight cores on the evaluation machine:

     

       
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| # | Result (m:s.ms) | Implementation     | JDK | Submitter     | Notes     |