GRNN

Abstract

Recurrent neural networks (RNNs) have gained significant attention due to their effectiveness in modeling sequential data, such as text and voice signal. However, due to the complex data dependencies and limited parallelism, current inference libraries for RNNs on GPUs produce either high latency or poor scalability, leading to inefficient resource utilization. Consequently, companies like Microsoft and Facebook use CPUs to serve RNN models.