AppLearner: learn and predict the resource consumption patterns of your application
This project targets the problem of accurately estimating resource requirements for workloads running over Red Hat OpenShift Container Platform and adjusting these estimations during the course of application execution.
Minimal Mobile Systems via Cloud-based Adaptive Task Processing
The high cost of robots today has hindered their widespread use. Specifically, a limiting factor involves extensive hardware and software computational resources required to run various real-time robot functions, from intensive inference with large neural network...Co-Ops: Collaborative Open Source and Privacy-Preserving Training for Learning to Drive
Note: This project is a continuation of OSMOSIS: Open-Source Multi-Organizational Collaborative Training for Societal-Scale AI Systems. AbstractCurrent development of autonomous vehicles, a socially transformative technology, has been slow, costly, and inefficient....CoDes : A co-design research lab to advance specialized hardware projects
CoDes research lab provides the infrastructure and engineering foundation needed to support co-design based specialized hardware research. The lab is currently located at Boston University, as part of the Red Hat – Boston University collaboratory.