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Copy file name to clipboardExpand all lines: content/learning-paths/servers-and-cloud-computing/glibc-with-lse/build_glibc_with_lse.md
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@@ -50,12 +50,12 @@ You have now successfully built glibc from source without LSE.
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Now lets look at how you can build it with LSE support.
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## Build glibc With LSE
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## Build glibc with LSE
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To build glibc with LSE, you should add `CFLAGS` and `CXXFLAGS` to the configure command.
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You can do this one of two ways. One way is to use "-mcpu=native" which tells the compiler to detect the architecture/micro-architecture of your machine. The other way is to pass the exact architecture option of your machine to the compiler using "-mcpu=neoverse-n2+lse"
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You can do this one of two ways. One way is to use "-mcpu=native" which tells the compiler to detect the architecture/micro-architecture of your machine. The other way is to pass the exact architecture option of your machine to the compiler using "-mcpu=neoverse-n2+lse".
Copy file name to clipboardExpand all lines: content/learning-paths/servers-and-cloud-computing/glibc-with-lse/compare_result.md
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You can run the mongodb benchmark using Glibc with LSE and NoLSE and compare the results. This will give you an idea of the performance gained by using Glibc with LSE.
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## Result with No-LSE
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Launch MongoDB with Glibc without LSE and obtain benchmark result.
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Launch MongoDB with Glibc but without LSE and obtain a benchmark result.
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The output will look similar to:
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```output
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The overall throughput (operations/sec) is 6662.1275371047195 with No-LSE Glibc.
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## Result with LSE
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Launch MongoDB again, this time with Glibc with LSE and obtain benchmark result.
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Launch MongoDB again, this time with Glibc with LSE and obtain a benchmark result.
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The output will look similar to:
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[SCAN], Return=OK, 1499682
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```
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The overall throughput (operations/sec) is 6871.605426919102 when using Glibc with LSE.
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In this case you can get around 3.14% performance uplift by using Glibc with LSE.
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In this case, you get around 3.14% performance uplift by using Glibc with LSE.
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