MPEC (Matrix Multiplication Performance Estimator on Cloud)
The proposed algorithm predicts the latency incurred when executing distributed matrix multiplication
various input sizes and shapes with diverse instance types and a different number of worker nodes on
The NMF algorithm is widely used in recommendation systems. It factorizes an input sparse matrix A into
matrices W and H. The following table shows the latency of matrix multiplication when updating the
W. Next tables represent three matrix multiplication scenarios in above mentioned it, respectively. In
the row shows the ec2 instance types and the columns is meaning of the number of Spark worker nodes.