Seminars
Practical End-to-End Privacy and Data Use Policy Enforcement
·Malte Schwarzkopf (Brown University)
While modern data is governed by strict privacy policies, developers often lack the practical abstractions needed to ensure their code complies, leading to frequent manual errors and costly violations. Malte Schwarzkopf will introduce Sesame, a framework that utilizes policy containers and static analysis to automate end-to-end privacy enforcement with minimal developer effort and low performance overhead.The Collapse of Constrained Physical AI
·Jason Jabbour (Harvard University)
As AI transitions from digital screens to autonomous physical systems like flight and construction, moving large-scale intelligence from the cloud to the edge presents significant technical and safety hurdles. Jason Jabbour will show these deployment constraints and share recent collaborative research that restores safety and task success within compressed Vision-Language-Action (VLA) models.Open Source Software (OSS) Inference Stack
·Robert Shaw (Red Hat)
Open source inference systems have become critically important as models get bigger and bigger and agentic applications create demanding workloads. In this talk, we will discuss the key trends in model architecture and hardware accelerator server design and how open-source inference systems like vLLM and llm-d optimize performance against these trends.Enhancing Performance Guarantees in Large-Scale Systems
·Yigong Hu (Boston University)
Performance stability is fundamentally challenging because application-defined resources remain invisible to the operating system, leading to unpredictable degradation that escapes traditional system-level monitoring. Yigong Hu will present his research on making application-defined resources first-class entities for performance reasoning and control.Learning-Directed Operating Systems
·Aditya Akella (the University of Texas at Austin)
Modern applications often face performance bottlenecks due to rigid OS policies, even when resources are plentiful. Aditya Akella will present LDOS (Learning-Directed Operating System), which replaces manual policy design with data-driven, system-wide optimization.Resilient Composition for Fault-Tolerant Cloud Applications
·Tianyu Li (the University of Wisconsin-Madison)
As cloud programming grows complex, new abstractions are vital for building correct, simple and efficient applications. Tianyu Li will introduce Resilient Composition, a method that ensures fault tolerance for applications built from distributed components.