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Gunnar Morling 2024-01-14 11:59:57 +01:00
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@ -163,9 +163,7 @@ For the 1BRC challenge, only the results in the previous section are of importan
#### 32 Cores / 64 Threads
For officially evaluating entries into the challenge, each contender is run on eight cores of the evaluation machine (AMD EPYC™ 7502P).
Here are the results from running the top 15 entries (as of commit 2c26b511e741f4d96a51dda831001946ea27a591) running on all 32 cores / 64 threads (i.e. SMT is enabled) of the machine:
Leaderboard
Here are the results from running the top 15 entries (as of commit [2c26b511](https://github.com/gunnarmorling/1brc/commit/2c26b511e741f4d96a51dda831001946ea27a591)) on all 32 cores / 64 threads (i.e. SMT is enabled) of the machine:
| # | Result (m:s.ms) | Implementation | JDK | Submitter | Notes |
|---|-----------------|--------------------|-----|---------------|-----------|
@ -188,7 +186,7 @@ Leaderboard
#### 10K Key Set
The 1BRC challenge data set contains 413 distinct weather stations, whereas the rules allow for 10,000 different station names to occur.
Here are the results from running the top 15 entries (as of commit 2c26b511e741f4d96a51dda831001946ea27a591) against 1,000,000,000 measurement values across 10K stations (created via _./create_measurements3.sh 1000000000_),
Here are the results from running the top 15 entries (as of commit [2c26b511](https://github.com/gunnarmorling/1brc/commit/2c26b511e741f4d96a51dda831001946ea27a591)) against 1,000,000,000 measurement values across 10K stations (created via _./create_measurements3.sh 1000000000_),
using eight cores on the evaluation machine:
| # | Result (m:s.ms) | Implementation | JDK | Submitter | Notes |