Cloud Distributed Computing

Research Frontiers in Heterogeneous Compute Resource Scheduling for ML Workloads

Development of scheduling algorithms that efficiently allocate diverse compute resources including GPUs, TPUs, and CPUs for machine learning tasks.

All Cloud & Distributed Computing PhD categories