re: rocketce -- Here is the link to information about their latest releases of Power-optimized builds:
https://community.rocketsoftware.com/discussion/rocketce-releasesDefinitely read through them -- some of the packages require specific versions on the install (ie, pytorch-cpu=1.10.2) in order to get the 'best on power' version and not have it upgraded to a newer (but slower) version from somewhere else.
.bri.
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Brian Horton
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Original Message:
Sent: Wed September 21, 2022 06:32 PM
From: Theresa Xu
Subject: Tuning PowerLinux for intensive scientific computing
Jack,
Let me give you 2 simple tricks and include a link for more detailed information.
Here is a paper which provides more performance information and tips: https://developer.ibm.com/tutorials/migrate-app-on-lop/
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Theresa Xu
Original Message:
Sent: Wed September 21, 2022 11:52 AM
From: Jack Woehr
Subject: Tuning PowerLinux for intensive scientific computing
What's the best way to learn to tune PowerLinux for intensive scientific computing ... scipy ... numpy ... etc?
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Jack Woehr
IBM Champion 2021 -2022
IBM Qiskit Advocate
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