Matrix multiplication is a fundamental building block in various distributed computing algorithms. In order to multiply large matrices, it is common practice to distribute the computation into ...

In this paper, we introduce the Variable Coded Distributed Batch Matrix Multiplication (VCDBMM) problem which tasks a distributed system to perform batch matrix multiplication where matrices are not ...

This benchmark evaluates the performance of batch matrix transposition in Tensorflow. This benchmark includes a hard coded version of util.h that calculates optimal kernel launching configurations ...