Heyi Mu

Dike: Enhancing Fairness and Efficiency in GPU Clusters for Deep Learning

The advent of deep learning (DL) has transformed signal interpretation, enabling more efficient solutions to complex signal processing problems. DL workloads in signal processing typically share the computational resources of GPU clusters. However, the unpredictable nature of the duration of the DL…