no code implementations • 5 Jun 2024 • Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Shengkun Cui, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar Iyer
$ $Large language models (LLMs) have become an increasingly important workload for cloud providers catering to both enterprise and consumer applications.
1 code implementation • 12 Apr 2024 • Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Başar, Ravishankar K. Iyer
Large language models (LLMs) have been driving a new wave of interactive AI applications across numerous domains.
no code implementations • 2 Jun 2022 • Saurabh Jha, Shengkun Cui, Zbigniew Kalbarczyk, Ravishankar K. Iyer
In this work, we propose a safety threat indicator (STI) using counterfactual reasoning to estimate the importance of each actor on the road with respect to its influence on the AV's safety.
no code implementations • 24 Apr 2020 • Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Timothy Tsai, Zbigniew Kalbarczyk, Ravi Iyer
Ensuring the safety of autonomous vehicles (AVs) is critical for their mass deployment and public adoption.
no code implementations • 24 Jul 2019 • Saurabh Jha, Shengkun Cui, Tianyin Xu, Jeremy Enos, Mike Showerman, Mark Dalton, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer
We present Kaleidoscope an innovative system that supports live forensics for application performance problems caused by either individual component failures or resource contention issues in large-scale distributed storage systems.