Survey papers for CS7600 (Intensive Computer Systems)

Instructor: Gene Cooperman
Spring, 2023
The survey papers are listed here in the same order as the order of the talks.

All papers now reflect what was submitted for Part 4, as of April 24.

Tuesday, April 18

  1. Luka Jovanovic, Title: 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: 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: 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. Alberto Mario Ceballos Arroyo. Title: Modern approaches for training and inference with large deep learning models
  3. Mert Bozbeyoglu, Title: A Survey Paper, Distributed Computing
  4. Millicent Li, Title: Efficiency in deep learning: where we currently are, and how far we still have to go
  5. Ian Steenstra, Title: Accelerating Deep Learning Systems: A Survey on System-Level Optimization Strategies
  6. Zohair Shafi, Title: Optimisations in Machine Learning Pipelinesli
  7. Philip Yao, Title: Systems for Efficient Deep Learning

Friday, April 28

  1. Rose Silver. Title: A Survey on Three Heap Allocators: Hoard, JEmalloc, Supermalloc
  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 Title: Training Speedup of Deep Neural Networks
  5. Farideh Khalili. Title: Data Race Detection
  6. Mehdi Arjman. Title: A Survey of Computer Systems in Machine Learning
  7. Shih-Po Lee, Title: A Survey of Deep Learning Acceleration
  8. Tarun Malviya, Title: A Survey on Early Checkpointing Techniques
  9. Brian Horner, Title: Introductions to Proposed Operating System Architectures
  10. Gerard Donahue, Title: Efficient Deep Learning, the "Systems" way.
  11. Francesca Lucchetti, Title: Memory Optimizations for Deep Learning Applications
  12. Mohammad Saneian Title: Time, Clocks, and the Ordering of Events in a Distributed System
  13. Dilruba Showkat, Title: Comparing Deep Learning Recommendation Models Storage Mechanisms: A Hidden Gap Between Deep Learning Values and Humans Values
  14. Hao Jin. Title: Leveraging Hybrid Architectures and Privacy-Preserving Techniques for Optimized Data Processing in Distributed Environments