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# EAR 5.1
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# EAR 5.1
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- CPU temperature read by EARL and reported to csv files.
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- CPU temperature monitoring included in application monitoring and reported to csv files.
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- Prevent workflows where all applications see all GPUs and all of them change GPU frequency.
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- Prevent workflows where all applications see all GPUs and all of them change GPU frequency.
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- Support for Python applications which use multiprocess module.
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- Support for Python multiprocess module.
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- EARL is compiled by default with LITE mode and DCGM metric collection enabled by default.
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- EARL is compiled by default with LITE mode. EAR Library will run in monitor mode if EARD is not present nor detected.
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- Nvidia DCGM metric collection enabled by default.
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- Fix DCGM application-level metrics computation.
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- Fix DCGM application-level metrics computation.
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- Prevent closing fd 0 on NTASK_WORKSHARING use case.
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- Prevent closing fd 0 on NTASK_WORKSHARING use case.
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- Avoid collapsing application's channel 2 when earl has high verbosity.
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- Avoid collapsing application's stderr channel when EARL has high verbosity.
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- Checking for authorized groups fixed.
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- Checking for authorized groups fixed. Support for multiple groups per user included.
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- Added a tool for creating application-level signatures csv file from loop signatures csv file.
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- Added a tool for creating application-level signatures csv file from loop signatures csv file.
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- EARL Loader can detect Python MPI flavour without an environment variable.
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- EARL Loader extension for detecting Python MPI flavour more automatically.
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- Fixed an error with EARD remote connections not being properly closed.
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- Fixed an error with EARD remote connections not being properly closed.
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- Add --domain option to econtrol.
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- Add --domain option to econtrol.
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