14 citations · 14 across the 2 of their papers we have counts for
7 papers
BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics
Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk +1
Hardware performance counters (HPCs) that measure low-level architectural and microarchitectural events provide dynamic contextual information about the state of the system. Howeve…
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices
Haoran Qiu, Subho S. Banerjee, Saurabh Jha +2
Modern user-facing latency-sensitive web services include numerous distributed, intercommunicating microservices that promise to simplify software development and operation. Howeve…
ML-driven Malware that Targets AV Safety
Saurabh Jha, Shengkun Cui, Subho S. Banerjee +3
Ensuring the safety of autonomous vehicles (AVs) is critical for their mass deployment and public adoption. However, security attacks that violate safety constraints and cause acci…
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…
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection
Saurabh Jha, Subho S. Banerjee, Timothy Tsai +5
The safety and resilience of fully autonomous vehicles (AVs) are of significant concern, as exemplified by several headline-making accidents. While AV development today involves ve…
AVFI: Fault Injection for Autonomous Vehicles
Saurabh Jha, Subho S. Banerjee, James Cyriac +2
Autonomous vehicle (AV) technology is rapidly becoming a reality on U.S. roads, offering the promise of improvements in traffic management, safety, and the comfort and efficiency o…