"""
Problem Statement

sum

The sum tool returns the sum of array elements over a given axis.

import numpy

my_array = numpy.array([ [1, 2], [3, 4] ])

print numpy.sum(my_array, axis = 0)         #Output : [4 6]
print numpy.sum(my_array, axis = 1)         #Output : [3 7]
print numpy.sum(my_array, axis = None)      #Output : 10
print numpy.sum(my_array)                   #Output : 10
By default, the axis value is None. Therefore, it performs a sum over all
the dimensions of the input array.

prod

The prod tool returns the product of array elements over a given axis.

import numpy

my_array = numpy.array([ [1, 2], [3, 4] ])

print numpy.prod(my_array, axis = 0)            #Output : [3 8]
print numpy.prod(my_array, axis = 1)            #Output : [ 2 12]
print numpy.prod(my_array, axis = None)         #Output : 24
print numpy.prod(my_array)                      #Output : 24
By default, the axis value is None. Therefore, it performs the product over
all the dimensions of the input array.

Task

You are given a 2-D array with dimensions NXM.
Your task is to perform the sum tool over axis 0 and then find the product
of that result.

Input Format

The first line of input contains space separated values of N and M.
The next N lines contains M space separated integers.

Output Format

Compute the sum along axis 0. Then, print the product of that sum.

Sample Input

2 2
1 2
3 4
Sample Output

24
Explanation

The sum along axis 0 = [4 6]
The product of this sum = 24
"""
import numpy

n, m = map(int, raw_input().split())
a = numpy.array([map(int, raw_input().split()) for i in range(n)],
                dtype=numpy.int)
sum_array = numpy.sum(a, axis=0)
print numpy.prod(sum_array, axis=0)
