Fluent Memory Problem

July 20, 2007, 05:24

i get a 'out of memory.malloc_storage: unable to malloc Density' errors when i initiliaze my domain for computation in fluent. Any ideas??

July 20, 2007, 08:37

Can your problem fit into your available RAM?

July 21, 2007, 01:01

I am using Windows OS with 2GB of RAM of FLuent 6.3, so its hard to believe that this could be an issue. I have a mesh with apporx. 2.6 million cells. It seems that the windows OS might not be suitable for this case, so a switch to Linux is the go. Thanks for the reply!

July 22, 2007, 16:33

Hi You need about 1Gb RAM for each 1million cells in the mesh. So you may have reached the limit though this is dependant on model used (eg radiation and coupled solvers need more memory). For 32 bit windows you can address 2**32 bytes per node which in reality is about 2Gb. Options are use 64bit Windows/Linux and add more RAM (needs about 30% more RAM for 64 bit) or run in parallel with shared memory. For the former case you will need 64 bit compliant hardware as well (and ntx86_63/lnamd64). cheers

July 20, 2007, 05:24	Fluent Memory Problem	#1
asd Guest Posts: n/a	i get a 'out of memory.malloc_storage: unable to malloc Density' errors when i initiliaze my domain for computation in fluent. Any ideas??

July 20, 2007, 08:37	Re: Fluent Memory Problem	#2
Joe Guest Posts: n/a	Can your problem fit into your available RAM?

July 21, 2007, 01:01	Re: Fluent Memory Problem	#3
asd Guest Posts: n/a	I am using Windows OS with 2GB of RAM of FLuent 6.3, so its hard to believe that this could be an issue. I have a mesh with apporx. 2.6 million cells. It seems that the windows OS might not be suitable for this case, so a switch to Linux is the go. Thanks for the reply!

July 22, 2007, 16:33	Re: Fluent Memory Problem	#4
red lemon Guest Posts: n/a	Hi You need about 1Gb RAM for each 1million cells in the mesh. So you may have reached the limit though this is dependant on model used (eg radiation and coupled solvers need more memory). For 32 bit windows you can address 2**32 bytes per node which in reality is about 2Gb. Options are use 64bit Windows/Linux and add more RAM (needs about 30% more RAM for 64 bit) or run in parallel with shared memory. For the former case you will need 64 bit compliant hardware as well (and ntx86_63/lnamd64). cheers

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