Computer Laboratory

Large-Scale Data Processing and Optimisation (2024-2025 Michaelmas Term)

LSDPO - R244

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 Mini Project List

Current list of mini projects as follows. You are free to change any time, just let me know if you change.

Name OpenSource Project Mini Project Title/Content
Oluwatimilehin (Timi) Adeniran Egglog Equality Saturation for MLIR with Egglog
Jakub(Kuba) Bachurski Egg Scalable & Flexible Equality Saturation
Zejun (Xavier) Chen ALEX ALEX: An Updatable Adaptive Learned Index
Luca Choteborsky Naiad System Adaptive Naiad
Edmund Goodman Egg Exploring reproducibility and data parallelism in the egg project
Andrew Krapivin Storm+World Model Investigating Compute vs Sample Efficiency in World Models
Mark Li BURN Deep Reinforcement Learning with Burn
Gabriel Mahler RLlib Evaluation of Distributed Training with RLLib
Sid Nagappan Optuna, Ax, RayTune Multi-Objective Bayesian Optimisation: Optuna, Ax and RayTune
Aryan Shah Ottertune Extraction of impacting parameters for Ottertune tuning
Hetong Shen Pyro, TensorFlow Probability A Comparative Study of Probabilistic Programming Frameworks: Pyro vs TensorFlow Probability
Andrzej Szablewski PyTorch Dynamo Exploring the Just-In-Time compilation in PyTorch Dynamo
Asbjørn Thede Lorenzen Mava Analysis of Mava Architecture
Chris Tomy Emukit Hybrid BayesOpt and RL Optimization in Emukit
Andy Zhou Tensorflow (Pyro) Replicate device Placement over LLM