High-performance $\pi$ digit calculation service designed for the Software Architecture (ARSW) course at Escuela Colombiana de Ingeniería Julio Garavito. Features a transition from sequential to parallel execution using Java 21 platform threads, layered architectural patterns, and performance benchmarking across diverse CPU architectures.

Data-parallel pipeline for detecting DGA-based malware using linguistic feature extraction on multi-core CPUs. Achieves 5.75× speedup on 8 cores with 93.18% classification accuracy. Built with Python multiprocessing and Random Forest. [AMLCCZG516 — BITS Pilani]

Repository of the lab2 assignment for the Parallel Programming course.

3D visualization toolkit for parallel computing performance analysis: speedup, efficiency, and iso-efficiency metrics with Amdahl's and Gustafson's Law implementations.