This archive contains my notes while pursuing my master's degree in High Performance Computing Engineering at Politecnico di Milano.

eBPF/XDP-based TCP Connection Tracker implementing and extending a simplified TCP state machine. The project analyzes, debugs, and improves connection tracking logic, adds support for missing scenarios (e.g., RST handling), and enhances flow management within Linux network namespaces. Project for the Network Computing course at PoliMi (2024/2025).

Example codes for learning numerical methods for PDEs using C++ and deal.II (PoliMI course).

University project of the Numerical Linear Algebra course. There are two challenges solved using NLA knowledge and two famous library: Eigen and LIS.

University project of the Parallel Computing course. There are two challenges that are solved using parallel computing techniques and two famous frameworks: OpenMP and CUDA.

Histopathology image classification to predict molecular subtypes. Includes datasets, EDA and preprocessing notebooks, patch extraction, baseline models, and training utilities for quick experiments and reproducible evaluation. Project for the Artificial Neural Networks and Deep Learning course at Politecnico di Milano (PoliMi) (2025/2026).

Deep Neural Netowrk (TCN + BiLSTM with Attention) model on multivariate time-series classification. Project for the Artificial Neural Networks and Deep Learning course at Politecnico di Milano (PoliMi) (2025/2026).

Second (part 2) university project of the Software Engineering for HPC course. Created a CI/CD github pipeline to: test an application (1), containerize the application using Singularity (2), send the Singularity build to the Galileo100 supercomputer (3), and make the results from the cluster available (4).