32 citations · 52 across the 8 of their papers we have counts for
12 papers
Watch out for the risky actors: Assessing risk in dynamic environments for safe driving
Saurabh Jha, Yan Miao, Zbigniew Kalbarczyk +1
Driving in a dynamic environment that consists of other actors is inherently a risky task as each actor influences the driving decision and may significantly limit the number of ch…
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…
Application-aware Congestion Mitigation for High-Performance Computing Systems
Archit Patke, Saurabh Jha, Haoran Qiu +5
High-performance computing (HPC) systems frequently experience congestion leading to significant application performance variation. However, the impact of congestion on application…
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…