443 citations · 826 across the 20 of their papers we have counts for
4 papers · 2 filters
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
Subho S Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk +1
The problem of scheduling of workloads onto heterogeneous processors (e.g., CPUs, GPUs, FPGAs) is of fundamental importance in modern data centers. Current system schedulers rely o…
Live Forensics for Distributed Storage Systems
Saurabh Jha, Shengkun Cui, Tianyin Xu +6
We present Kaleidoscope an innovative system that supports live forensics for application performance problems caused by either individual component failures or resource contention…
A Study of Network Congestion in Two Supercomputing High-Speed Interconnects
Saurabh Jha, Archit Patke, Jim Brandt +6
Network congestion in high-speed interconnects is a major source of application run time performance variation. Recent years have witnessed a surge of interest from both academia a…
Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo
Valerio Formicola, Saurabh Jha, Daniel Chen +13
We present a set of fault injection experiments performed on the ACES (LANL/SNL) Cray XE supercomputer Cielo. We use this experimental campaign to improve the understanding of fail…