2 papers
cs.DC2019
Themis: Fair and Efficient GPU Cluster Scheduling
Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi +4
Modern distributed machine learning (ML) training workloads benefit significantly from leveraging GPUs. However, significant contention ensues when multiple such workloads are run…
cs.LG2019
DANTE: Deep AlterNations for Training nEural networks
Vaibhav B Sinha, Sneha Kudugunta, Adepu Ravi Sankar +3
We present DANTE, a novel method for training neural networks using the alternating minimization principle. DANTE provides an alternate perspective to traditional gradient-based ba…