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nc1919/README.md

Hi

I’m interested in machine learning systems, parallel computing, and performance engineering. This profile is a curated collection of projects where I explore how software behaves at scale through measurement, optimisation, and reproducible experiments.

Featured work

Project What it explores
Scalable Vision Transformer training PyTorch input-pipeline tuning, mixed precision, torch.compile, gradient accumulation, and multi-GPU DDP
MPI predator–prey simulation Actor-style message passing, distributed simulation, Slurm experiments, scaling, and validation
Molecular-dynamics performance Portable and architecture-aware optimisation of an O(N²) C kernel
Compiler optimisation study The performance and numerical effects of C compiler optimisation modes
IMDb analysis in Scala Typed data processing and tested analysis over IMDb datasets
Chain-of-Table reproduction A clearly attributed reproduction of the archived Google Research project

Using this portfolio

Each featured repository includes setup instructions, its current validation status, and caveats around the recorded results. Some projects began as coursework or research experiments, so please check the repository’s licence and any data terms before reuse. If no licence is present, ask before reusing the code.

Get in touch

Questions, feedback, and collaboration ideas are welcome. Open an issue in the relevant project or reach me through GitHub.

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  1. chain-of-table-reproduction chain-of-table-reproduction Public

    Reproduction and adaptation of the Chain-of-Table research code

    Python

  2. compiler-optimisation-study compiler-optimisation-study Public

    Compiler optimisation study for a C molecular-dynamics workload

    C

  3. Deep-Learning-Papers-Reading-Roadmap Deep-Learning-Papers-Reading-Roadmap Public

    Forked from floodsung/Deep-Learning-Papers-Reading-Roadmap

    Python

  4. reinforcement-learning reinforcement-learning Public

    Forked from HumanED/reinforcement-learning

    Python

  5. scalable-vit-training scalable-vit-training Public

    Scalable Vision Transformer training and DDP optimisation study

    Python