Talks for CS7600 (Intensive Computer Systems)

Instructor: Gene Cooperman
Spring, 2023

CS 7600 (Spring, 2023): Talks: Name - Title

In order to add your talk and time, please edit this web page, located at /course/cs7600/.www/talks.html on the Khoury login computer. You will find this near the end of that file.

It's possible for two people to try to edit at the same time. Please check back 5 minutes later to verify that your talk is still there.

The talk will be just 5 minutes. You can use the whiteboard or slides. If you use slides, 2 slides are recommended, and 3 slides is the maximum. You can upload your slides (using 'scp') to /course/cs7600/.www/slides/, with pdf preferred: scp myslides.pdf login.ccs.neu.edu:/course/cs7600/.www/slides/ There will then be a brief time for comments and questions.

Some advice for things to communicate to your audience:

  1. Novelty: What are the goals of the community that you are surveying?
  2. Importance: Why are these goals important?
  3. Background: What is an overview of potential ways to achieve these goals?
  4. And then you can talk about the results from your survey paper.

Tuesday, April 18

  1. Luka Jovanovic, How To Upgrade A Single-Threaded Model Checker of Multi-Threaded Programs To A Concurrent One
  2. Wenqing Wang. Title: A Survey on Large-Scale Machine Learning Models
  3. Rui Li, Title: Cold Start, Heterogeneous and Scalability: A Survey of Serverless Computing

Friday, April 21

  1. Veronika Potter. Title: On Deploying a Real-Time Physical Activity Recognition Algorithm on a Mobile Device
  2. Baidik Chandra. Title: Partitioning in Databases
  3. Bellamy Shereen. Title: The Use of ROS in Robotics Research and Development
  4. Farnaz Nouraei Title: WSN OSs
  5. Matthew Prashker. Title: Virtualization and Implications for Kernel Design
  6. Aayushi Gautam. Title: Parallel Approaches for Efficient Model Checking
  7. Anqi Chen. Title: A survey on automated methods to detect vulnerabilities in protocol implementations

Tuesday, April 25

  1. Rajat Bisht. TITLE: Kernel Designs and Comparison
  2. Hao Jin. Title: Leveraging Hybrid Architectures and Privacy-Preserving Techniques for Optimized Data Processing in Distributed Environments
  3. Alberto Mario Ceballos Arroyo. Title: Modern approaches for training and inference with large deep learning models
  4. Mert Bozbeyoglu, Title: TBD
  5. Millicent P
  6. Ian Steenstra, Title: Accelerating Deep Learning Systems: A Survey on System-Level Optimization Strategies
  7. Zohair Shafi | Title : Optimisations in Machine Learning Pipelines
  8. Dilruba Showkat, title: Comparing Deep Learning Recommendation Models Storage Mechanisms: A Hidden Gap Between Deep Learning Values and Humans Values
  9. Philip Yao, Title: Systems for Efficient Deep Learning

Friday, April 28

  1. Rose Silver. Title: TBD
  2. John Abascal. Title: A Survey of Research Directions in Mobile Machine Learning Systems
  3. Amir Azarmehr, Title: A Survey of Operating System Architectures: Examining Library OS, Exokernel, and Mach
  4. Parnian Zameni
  5. Farideh Khalili. Title: Data Race Detection
  6. Mehdi Arjman. Title: TBD
  7. Shih-Po Lee, Title: A Survey of Deep Learning Acceleration
  8. Brian Horner, Title: Evaluation of Three Operating Systems and a Case for a Compromise.
  9. Gerard Donahue, Title: Efficient Deep Learning, the "Systems" way.
  10. Francesca Lucchetti, Title: Memory Optimizations for Deep Learning Applications
  11. Mohammad Saneian, Title: TBD
  12. Tarun Malviya, Title: A Survey on Early Checkpointing Techniques