I'm testing Ubuntu ...
 
Share:
Notifications
Clear all

Mar 28 2026 APP 2.0.0-beta40 will be released in 7 days.

It did take a long time to have the work finished on this and it  will have a major performance boost of 30-50% over 2.0.0-beta39 from calibration to integration. We extensively optimized many critical parts of APP. All has been tested to guarantee correct optimizations. Drizzle and image resampling is much faster for instance, those modules have been completely rewritten. Much less memory usage. LNC 2.0 will be released which works much better and faster than LNC in it's current state. And more, all will be added to the release notes in the coming weeks...

Update on the 2.0.0 release & the full manual

We are getting close to the 2.0.0 stable release and the full manual. The manual will soon become available on the website and also in PDF format. Both versions will be identical and once released, will start to follow the APP release cycle and thus will stay up-to-date to the latest APP version.

Once 2.0.0 is released, the price for APP will increase. Owner's license holders will not need to pay an upgrade fee to use 2.0.0, neither do Renter's license holders.

 

I'm testing Ubuntu on 32 Core Xeon with 512GB RAM

3 Posts
3 Users
1 Reactions
2,638 Views
(@stastro)
Black Hole Moderator
Joined: 6 years ago
Posts: 257
Topic starter  
image

I want to see how much faster more cores make it, and Ice Lake Xeon too



   
ReplyQuote
(@screetch82)
White Dwarf
Joined: 6 years ago
Posts: 7
 

wow and how does feel vs a normal PC? I noticed that 32GB doesnt seem to cut it. I do run out of RAM often and crash



   
ReplyQuote
(@romonaga)
White Dwarf
Joined: 4 years ago
Posts: 6
 

I also recently upgraded my machine for image processing.  I went with the latest Intel offering I9 12 Gen.  Some items it processes faster, it depends on if the process can run parallel or needs to run single threaded.  So several processing steps will not make use of all the cores.  The area I found that made the most difference is in memory, I had originally had 32 GIG found I was running out of memory and could not process, so I bumped the machine up to 64 Gig and the software runs very stable even with very large datasets.  I suspect soon, just because, I will bump it to 128 gig of memory.

 

So while more cores and faster cores were helpful, only too a point, memory is where I found the best results.



   
ReplyQuote
Share: