Home Greater New England Research Interest Group Meeting [July 2021]

Greater New England Research Interest Group Meeting [July 2021]

Date: July 13, 2021

Meeting Agenda:

Intern Kernel Project Summaries

Project update #1 EET Testing – Ryan Sullivan (rysulliv@redhat.com), Boston University student, Red Hat intern; Larry Woodman, Red Hat Advisor   
Describe an EET testing project for Linux memory page reclamation algorithm
View the .pdf presentation

Project update #2 eBPF Loggin Bandwidth Limiter – Ryan Sullivan (rysulliv@redhat.com), Boston University student, Red Hat intern; Larry Woodman, Red Hat Advisor
Describe a new project that can provide a Site Reliability Engineer with the capability to control the bandwidth consumed by the combined processes running logging as Kubernetes managed containers. This provides the ability to balance the system so that logging does not consume all available disk bandwidth or network bandwidth and inadvertently cause starvation of applications or instability of Kubernetes nodes. Bandwidth limits are provided on a file-descriptor basis.
View the .pdf presentation

Paper Reading Group – Part 3: Discussing research on “Deep learning for self-driving/autonomous cars”Ahmed Sanaullah (20-30 min)
Join us for the third and final pilot session of the paper reading group as we wrap up the first leg of our journey. In this session, we will be emulating one potential way of conducting the (post-pilot) paper reading group. The traditional approach taken in paper reading groups is usually paper-centric/depth-first i.e. going over a single major paper in detail or discussing a number of individual papers one after the other. In contrast, our discussion will be organized in a more topic-centric/breadth-first manner. That is, the goal will be to individually discuss key facets of the topic by pooling together information from multiple papers. 

View the .pdf presentation

Papers discussed today:
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling 
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling
DeepPicar: A Low-cost Deep Neural Network-based Autonomous

Engineer in Residence Opportunities Langdon White and Bandan Das (5-10 min)

If you are interested in potentially becoming an EiR at BU – please reach out to Sarah (scoghlan@redhat.com) and Heidi (hdempsey@redhat.com)

Meeting will be recorded and the recording will be available after the event.


Jul 13 2021


3:00 pm - 4:00 pm

Local Time

  • Timezone: America/New_York
  • Date: Jul 13 2021
  • Time: 3:00 pm - 4:00 pm



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