1. A computer-readable medium storing computer-executable instructions that are executable to cause one or more processors to perform acts comprising: providing a pipelined algorithm to train deep neural networks (DNNs) for performing data analysis based on training data, the DNNs being one of context-dependent DNNs or context-independent DNNs; partitioning the training data into sample batches of a specific batch size based on rates of data transfers between processors for executing the pipelined algorithm and an execution speed of each processor; and pipelining an execution of the pipelined algorithm on the DNNs through the processors to train the DNNs using the sample batches.