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author | Tibor Frank <tifrank@cisco.com> | 2020-07-09 11:16:19 +0200 |
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committer | Tibor Frank <tifrank@cisco.com> | 2020-07-09 11:23:17 +0200 |
commit | 12c3608c3464add7664e3b8f41b07b9b8fd03f1c (patch) | |
tree | e505291a1eac7d216cec9898969d27400d63407d /docs/report/introduction/test_environment_intro.rst | |
parent | d0f1e8778dac3549a1f1e403541de9f3ee88ec8d (diff) |
Report 2005: Add data, review graphs
Change-Id: I2913ed579369a26a1226cfbe958432d1b3e11789
Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'docs/report/introduction/test_environment_intro.rst')
-rw-r--r-- | docs/report/introduction/test_environment_intro.rst | 27 |
1 files changed, 0 insertions, 27 deletions
diff --git a/docs/report/introduction/test_environment_intro.rst b/docs/report/introduction/test_environment_intro.rst index da817f269d..7c4d5dfc9f 100644 --- a/docs/report/introduction/test_environment_intro.rst +++ b/docs/report/introduction/test_environment_intro.rst @@ -28,30 +28,3 @@ physical testbeds are maintained in FD.io CSIT repository: `FD.io CSIT testbeds - Xeon Cascade Lake`_, `FD.io CSIT testbeds - Xeon Skylake, Arm, Atom`_ and `FD.io CSIT Testbeds - Xeon Haswell`_. - -Pre-Test Server Calibration ---------------------------- - -Number of SUT server sub-system runtime parameters have been identified -as impacting data plane performance tests. Calibrating those parameters -is part of FD.io CSIT pre-test activities, and includes measuring and -reporting following: - -#. System level core jitter - measure duration of core interrupts by - Linux in clock cycles and how often interrupts happen. Using - `CPU core jitter tool <https://git.fd.io/pma_tools/tree/jitter>`_. - -#. Memory bandwidth - measure bandwidth with `Intel MLC tool - <https://software.intel.com/en-us/articles/intelr-memory-latency-checker>`_. - -#. Memory latency - measure memory latency with Intel MLC tool. - -#. Cache latency at all levels (L1, L2, and Last Level Cache) - measure - cache latency with Intel MLC tool. - -Measured values of listed parameters are especially important for -repeatable zero packet loss throughput measurements across multiple -system instances. Generally they come useful as a background data for -comparing data plane performance results across disparate servers. - -Following sections include measured calibration data for testbeds. |