Dear Meep users !
Lately I was trying to implement pythonic interface for libmeep. My current
goal is enabling mpi feature of libmeep in python scripts. While enabling
mpi is as straight as just calling mpi_init with correct arguments, the
actual mpi acceleration do not meet my expectations. I did
source for python script - it is not equivalent to 1.ctl
#!/usr/bin/python
import meep
import getopt
import sys
m=meep.MPI(sys.argv)
if meep.my_rank()==0:
print 'Count processors:', meep.count_processors(), 'My rank is',
meep.my_rank()
class epsilon(meep.Callback):
def __init__(self,inne
Nizamov Shawkat wrote:
> So the first question is - what mpi efficiency do you observe on your
> systems?
I have observed excellent acceleration. Dual-core systems have been
near-linear, and running on 8 machines with a GigE interconnect I got
about 6x acceleration.
The important thing is to mak
Nizamov Shawkat wrote:
> Dear Meep users !
>
> Lately I was trying to implement pythonic interface for libmeep. My
> current goal is enabling mpi feature of libmeep in python scripts.
> While enabling mpi is as straight as just calling mpi_init with
> correct arguments, the actual mpi acceleration
Hello! everyone,
First, I am not very sure of the specific way to generate E-field in MEEP.
In FDTD method, the E-field is converted to
sqrt(epsilon_0/mu_0) where epsilon_0 = 8.85e-12, mu_0 = 1.2566e-6. I wonder
how to transfer the result of E-field to the SI value (V/m).
Second, in this link
http
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