Hi all, I am trying to perform matrix-vector multiplication using Hadoop.
So I have matrix M in a file, and vector v in another file. Obviously, files are of different sizes. Is it possible to make it so that each Map task will get the whole vector v and a chunk of matrix M? I know how my map and reduce functions should look like, but I don't know how to format the input. Basically I want my map function to output key-value pairs (i,m[i,j]*v(j)), where i is the row number, and j the column number; v(j) is the jth element in v. And the reduce function will sum up all the values with the same key - i, and that will be the ith element of my result vector. Or can you suggest another way to do it? Thanks, Alexandra -- View this message in context: http://old.nabble.com/providing-the-same-input-to-more-than-one-Map-task-tp31459012p31459012.html Sent from the Hadoop core-user mailing list archive at Nabble.com.
