Topic
Dual core processor
Page d'accueil ' Communauté ' Généralités ' Processeur à deux cœurs
- Ce sujet contient 4 réponses, 3 participants et a été mis à jour pour la dernière fois par Norbert Bakkers, le il y a 18 années et 1 mois.
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26.03.2007 à 04:05 #34034Norbert BakkersParticipant
The computer that runs Flexpro applications has a dual core processor (Intel T2600 @ 2.16 GHz). The processor usage never exceeds 50% (100% of 1 processor) even when using very processor intense Flexpro applications when the HDD is not very active.
Is this a known problem, or is this something that can easily be rectified?
Computer is HP laptop nw8440 running XP professional SP2 and Flexpro 7.26.03.2007 à 04:05 #34038Norbert BakkersParticipantThe computer that runs Flexpro applications has a dual core processor (Intel T2600 @ 2.16 GHz). The processor usage never exceeds 50% (100% of 1 processor) even when using very processor intense Flexpro applications when the HDD is not very active.
Is this a known problem, or is this something that can easily be rectified?
Computer is HP laptop nw8440 running XP professional SP2 and Flexpro 7.26.03.2007 à 18:23 #34035Bernhard KantzParticipantFlexPro7 is mainly single-threaded.
But this will change in FlexPro8. Then FlexPro will use multiple parallel processes for the mathematical calculations. That means all existing processors in a multi core system will be used.09.04.2010 à 22:24 #34036John HuxtableParticipantWe are running 8.0.24 on a Xeon, quad core, processor but do not seem to benefit from multiple cores. Is there a setting somewhere in Windows or Flexpro to make use of the processing power?
10.04.2010 à 01:08 #34037Bernhard KantzParticipantFlexPro Professional supports the following features:
– Updating of preview, object hierarchy and data statistics in the background.
– Parallelizing of computations on multicore processor systems.For these features you have to enable the option “Update objects in the background” (Tools|Options|System Settings).
But not all used algorithms use the parallelizing (e.g. FFT). Generally, the algorithms are parallelized where the data are linear elementwise calculated.
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