The CONIX Center’s research agenda is broad and ambitious, spanning architectures, components, services, security, and privacy, all of which combine into three demonstrator applications. The center’s mission is to develop the architecture consisting of APIs and protocols that allow system designers to operate on all resources in a system in an abstract manner like that used by modern data centers. This requires an interdisciplinary and cross-cutting approach that extends from new programming paradigms at the top, all the way down to platforms that support in-network computation. To cope with dynamics and scale, the system needs to be sufficiently autonomous using machine learning and cognitive approaches to build resilience and to self-optimize.
Next Student-Liaison Seminar
April 20th @ 1pm Eastern Time
- Title: Learning like a Human: Curriculum inspired by Learning Dynamics
- Led by PhD student Tianyi Zhou (UW)
- Find additional details on the Member Home page or email Toni Fox.
JUMP e-Workshop: “Co-optimization of Algorithms, Hardware, and Scheduling for Deep Learning Applications” presented by Qijing Jenny Huang (UC Berkeley)
JUMP e-Workshop “OS Performance, Predictability, Strong Isolation; Choose Three” by Gabriel Parmer
JUMP e-Workshop ‘The ARENA (Augmented Reality Edge Network Architecture)’ by Anthony Rowe and Nuno Pereira
10.13.20 ‐ 10.15.20
CONIX Third Annual Review (VIRTUAL)
JUMP e-Workshop ‘The Future of Network Machine Learning’ by Jeff Bilmes