Interactive dashboard for learning parallel computing speedup using Amdahl’s and Gustafson’s Laws with real-time simulations
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Updated
Apr 27, 2026 - HTML
Interactive dashboard for learning parallel computing speedup using Amdahl’s and Gustafson’s Laws with real-time simulations
Field-artillery simulation supplement to the Coordination Tax working paper/manuscript.
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]
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.
3D visualization toolkit for parallel computing performance analysis: speedup, efficiency, and iso-efficiency metrics with Amdahl's and Gustafson's Law implementations.
Repository of the lab2 assignment for the Parallel Programming course.
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