Is it possible to find the supremum norm of a vector applying Open MPI Reduce operation with Op MPI.MAX/...
0
I need to find the supremum norm (maximal element of vector) of a vector. I can implement is using norm function of linear algebra library of mpi4py.
x = np.linspace(0, 100, n)
mxnorm_x = norm(x, np.inf)
print "mxnorm-x", mxnorm_x
However, I need to find this supremum norm using MPI Reduce operation. Is it really possible to find this norm using comm.Reduce and the Op MAX or MAXLOC?
python parallel-processing mpi reduce openmpi
asked Nov 20 '18 at 15:22
mirzapinkumirzapinku
12
add a comment |
0
I need to find the supremum norm (maximal element of vector) of a vector. I can implement is using norm function of linear algebra library of mpi4py.
x = np.linspace(0, 100, n)
mxnorm_x = norm(x, np.inf)
print "mxnorm-x", mxnorm_x
However, I need to find this supremum norm using MPI Reduce operation. Is it really possible to find this norm using comm.Reduce and the Op MAX or MAXLOC?
python parallel-processing mpi reduce openmpi
asked Nov 20 '18 at 15:22
mirzapinkumirzapinku
12
1
Please describe more clearly how the data is distributed. Also your specific operation is not clear as your description does not match how supremum norm is defined.MPI_Reducedoes not reduce arrays, it reduces distributed data. It may help to add a specific programming language tag. On the other hand, this question probably is not specific to Open MPI.
– Zulan
Nov 20 '18 at 15:43
Thank you for your comment. Description updated. The programming language is Python (though the problem is not related to python). And yes its not specific Open MPI problem, but MPI. As I know, there are several operations we can perform with Reduce operation like SUM, MAX, MIN etc.
– mirzapinku
Nov 20 '18 at 17:05
add a comment |
0
0
0
I need to find the supremum norm (maximal element of vector) of a vector. I can implement is using norm function of linear algebra library of mpi4py.
x = np.linspace(0, 100, n)
mxnorm_x = norm(x, np.inf)
print "mxnorm-x", mxnorm_x
However, I need to find this supremum norm using MPI Reduce operation. Is it really possible to find this norm using comm.Reduce and the Op MAX or MAXLOC?
python parallel-processing mpi reduce openmpi
asked Nov 20 '18 at 15:22
mirzapinkumirzapinku
12
I need to find the supremum norm (maximal element of vector) of a vector. I can implement is using norm function of linear algebra library of mpi4py.
x = np.linspace(0, 100, n)
mxnorm_x = norm(x, np.inf)
print "mxnorm-x", mxnorm_x
However, I need to find this supremum norm using MPI Reduce operation. Is it really possible to find this norm using comm.Reduce and the Op MAX or MAXLOC?
python parallel-processing mpi reduce openmpi
python parallel-processing mpi reduce openmpi
asked Nov 20 '18 at 15:22
mirzapinkumirzapinku
12
asked Nov 20 '18 at 15:22
mirzapinkumirzapinku
12
edited Nov 21 '18 at 6:40
mirzapinku
asked Nov 20 '18 at 15:22
mirzapinkumirzapinku
12
asked Nov 20 '18 at 15:22
mirzapinkumirzapinku
12
asked Nov 20 '18 at 15:22
mirzapinkumirzapinku
12
12
1
Please describe more clearly how the data is distributed. Also your specific operation is not clear as your description does not match how supremum norm is defined.MPI_Reducedoes not reduce arrays, it reduces distributed data. It may help to add a specific programming language tag. On the other hand, this question probably is not specific to Open MPI.
– Zulan
Nov 20 '18 at 15:43
Thank you for your comment. Description updated. The programming language is Python (though the problem is not related to python). And yes its not specific Open MPI problem, but MPI. As I know, there are several operations we can perform with Reduce operation like SUM, MAX, MIN etc.
– mirzapinku
Nov 20 '18 at 17:05
add a comment |
1
Please describe more clearly how the data is distributed. Also your specific operation is not clear as your description does not match how supremum norm is defined.MPI_Reducedoes not reduce arrays, it reduces distributed data. It may help to add a specific programming language tag. On the other hand, this question probably is not specific to Open MPI.
– Zulan
Nov 20 '18 at 15:43
Thank you for your comment. Description updated. The programming language is Python (though the problem is not related to python). And yes its not specific Open MPI problem, but MPI. As I know, there are several operations we can perform with Reduce operation like SUM, MAX, MIN etc.
– mirzapinku
Nov 20 '18 at 17:05
1
1
Please describe more clearly how the data is distributed. Also your specific operation is not clear as your description does not match how supremum norm is defined.
MPI_Reduce does not reduce arrays, it reduces distributed data. It may help to add a specific programming language tag. On the other hand, this question probably is not specific to Open MPI.– Zulan
Nov 20 '18 at 15:43
Please describe more clearly how the data is distributed. Also your specific operation is not clear as your description does not match how supremum norm is defined.
MPI_Reduce does not reduce arrays, it reduces distributed data. It may help to add a specific programming language tag. On the other hand, this question probably is not specific to Open MPI.– Zulan
Nov 20 '18 at 15:43
Thank you for your comment. Description updated. The programming language is Python (though the problem is not related to python). And yes its not specific Open MPI problem, but MPI. As I know, there are several operations we can perform with Reduce operation like SUM, MAX, MIN etc.
– mirzapinku
Nov 20 '18 at 17:05
Thank you for your comment. Description updated. The programming language is Python (though the problem is not related to python). And yes its not specific Open MPI problem, but MPI. As I know, there are several operations we can perform with Reduce operation like SUM, MAX, MIN etc.
– mirzapinku
Nov 20 '18 at 17:05
add a comment |
1 Answer
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I found the solution myself. Here is the update -
#divide up/ scatter the vector to all the process as sub vectors
comm.Scatterv([x, sendTuple, disTuple, MPI.DOUBLE], local_x)
#compute max of that sub-vector (local_x)
local_max = np.max(local_x)
#find overall MAX
comm.Reduce(local_max, max, op = MPI.MAX)
#data will be stored in max
print "Maximum Value:", max[0]
answered Nov 21 '18 at 6:41
mirzapinkumirzapinku
12
add a comment |
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1 Answer
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I found the solution myself. Here is the update -
#divide up/ scatter the vector to all the process as sub vectors
comm.Scatterv([x, sendTuple, disTuple, MPI.DOUBLE], local_x)
#compute max of that sub-vector (local_x)
local_max = np.max(local_x)
#find overall MAX
comm.Reduce(local_max, max, op = MPI.MAX)
#data will be stored in max
print "Maximum Value:", max[0]
answered Nov 21 '18 at 6:41
mirzapinkumirzapinku
12
add a comment |
0
I found the solution myself. Here is the update -
#divide up/ scatter the vector to all the process as sub vectors
comm.Scatterv([x, sendTuple, disTuple, MPI.DOUBLE], local_x)
#compute max of that sub-vector (local_x)
local_max = np.max(local_x)
#find overall MAX
comm.Reduce(local_max, max, op = MPI.MAX)
#data will be stored in max
print "Maximum Value:", max[0]
answered Nov 21 '18 at 6:41
mirzapinkumirzapinku
12
add a comment |
0
0
0
I found the solution myself. Here is the update -
#divide up/ scatter the vector to all the process as sub vectors
comm.Scatterv([x, sendTuple, disTuple, MPI.DOUBLE], local_x)
#compute max of that sub-vector (local_x)
local_max = np.max(local_x)
#find overall MAX
comm.Reduce(local_max, max, op = MPI.MAX)
#data will be stored in max
print "Maximum Value:", max[0]
answered Nov 21 '18 at 6:41
mirzapinkumirzapinku
12
I found the solution myself. Here is the update -
#divide up/ scatter the vector to all the process as sub vectors
comm.Scatterv([x, sendTuple, disTuple, MPI.DOUBLE], local_x)
#compute max of that sub-vector (local_x)
local_max = np.max(local_x)
#find overall MAX
comm.Reduce(local_max, max, op = MPI.MAX)
#data will be stored in max
print "Maximum Value:", max[0]
answered Nov 21 '18 at 6:41
mirzapinkumirzapinku
12
answered Nov 21 '18 at 6:41
mirzapinkumirzapinku
12
answered Nov 21 '18 at 6:41
mirzapinkumirzapinku
12
answered Nov 21 '18 at 6:41
mirzapinkumirzapinku
12
12
add a comment |
add a comment |
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1
Please describe more clearly how the data is distributed. Also your specific operation is not clear as your description does not match how supremum norm is defined.
MPI_Reducedoes not reduce arrays, it reduces distributed data. It may help to add a specific programming language tag. On the other hand, this question probably is not specific to Open MPI.– Zulan
Nov 20 '18 at 15:43
Thank you for your comment. Description updated. The programming language is Python (though the problem is not related to python). And yes its not specific Open MPI problem, but MPI. As I know, there are several operations we can perform with Reduce operation like SUM, MAX, MIN etc.
– mirzapinku
Nov 20 '18 at 17:05