Dear Support,
I realize that there may not be a simple answer, but I would like to
understand why running training on a 9300 segment corpus takes nearly
three times as long on a 12 core Xeon E5-1650v2 128GB RAM Running CentOS
6.5, than on my MacBook Pro 4 core i7 3720QM 8GB RAM running Mavericks.
I am at a loss to explain. On the Xeon server I used a 28GB RAMDISK to
simulate an SSD to make things more equal. I have used mgiza throughout.
I have used the same data nad identical settings throughout on both
machines and I have used the official Moses 2.1 Git distribution and
compiled and linked on the machine.
These are the timings in minutes for the MacBook Pro 4 core i7 3720QM
8Gb RAM SSD:
Start End Time taken
mkls 10:18:50 10:19:23 00:00:33
snt2cooc 10:19:23 10:19:25 00:00:02
mgiza 10:19:25 10:31:58 00:12:33
extract 10:31:58 10:32:04 00:00:06
score 10:32:04 10:32:14 00:00:10
reordering 10:32:14 10:32:17 00:00:03
Total 00:13:27
and these for the 12 core Xeon E5-1650v2 128GB RAM using 28GB RAMDISKfor
all the data:
Start End Time taken
mkls 09:44:24 09:49:00 00:04:36
snt2cooc 09:49:00 09:49:23 00:00:23
mgiza 09:49:23 10:23:32 00:34:09
extract 10:23:32 10:24:20 00:00:48
score 10:24:20 10:26:08 00:01:48
reordering 10:26:08 10:26:20 00:00:12
Total 00:41:56
I know that the Mac is a superb machine (the best I have ever put my
hands on), but I find it difficult to understand why it should be so
much faster than a state of the art Xeon server for Moses training.
Email signature standard
Best Regards,
Andrzej Zydroń
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