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ChristopherK.
ChristopherK.
Participant
July 30, 2019
Answered

Parallel creation of previews in Lightroom with active Hyperthreading on an SixCore Intel Xeon E5 1650 v3, Lr 8.3.1

  • July 30, 2019
  • 2 replies
  • 1021 views

Greetings from Germany,

I'm using a HP Workstation Z440 with a SixCore Intel Xeon E5 1650 v3, with 32 GB of ECC RAM and a nVidia Quadro K4200 graphics card as well as the latest updates.

If I turn off hyperthreading in the BIOS and have not set the hook for parallel creation of previews in Lightroom, then, as it should be, first the images are copied and then the previews are created.

But if I turn hyperthreading on, the hook does not stay set, nevertheless a parallel preparation of the previews takes place.

Can someone explain why that is? The support had no answer.

Thanks in advance!

Message was edited by: Akash Sharma

This topic has been closed for replies.
Correct answer johnrellis

See Christopher's post in the feedback forum: https://feedback.photoshop.com/photoshop_family/topics/hyperthreading-and-previews

2 replies

Tony_See
Tony_See
Inspiring
July 31, 2019

For my own benefit in this forum can you illustrate the outcomes of "turn off hyperthreading in the BIOS and have not set the hook for parallel creation of previews in Lightroom" for editors?

Fascinating . . .

johnrellis
johnrellisCorrect answer
Legend
July 31, 2019

See Christopher's post in the feedback forum: https://feedback.photoshop.com/photoshop_family/topics/hyperthreading-and-previews

    J
    jbinco
    Inspiring
    June 6, 2022

    The link above does not work.  Can you tell me where this topic can be found now?  I'd like more information on lightroom > preferences > performance > "generate previews in parallel".

    Thank you.

    Akash Sharma
    Akash Sharma
    Legend
    July 30, 2019

    Hi ChristopherK,

    I'd recommend that you post this query on our Lightroom community as well: Lightroom Classic | Photoshop Family Customer Community

    Our Engineering team do monitor this space and look for major feature requests/feedback from our valuable users like you to shape the product further.

    Thanks,

    Akash

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