You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: Recurrent models typically factor computation along the symbol positions of the input and output sequences. Aligning the positions to steps in computation time, they generate a sequence of hidden states h_{t}, as a function of the previous hidden state h_{t-1} and the input for position t. This inherently sequential nature precludes parallelization within training examples, which becomes critical at longer sequence lengths, as memory constraints limit batching across examples.Recent work has achieved significant improvements in computational efficiency through factorization tricks (Kuchaiev2017Factorization, ) and conditional computation (shazeer2017outrageously, ), while also improving model performance in case of the latter. The fundamental constraint of sequential computation, however, remains.

Question: Does Conditional Computation mentioned by the authors mean to perform operations depending on the need to perform them?
Paper only mention the advantages of conditional computation that is to improve computational efficiency and model performance.