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A Tool for Programming Portable Parallel Applications on Heterogeneous Hybrid Servers

Collaborative data analysis project for the UCD COMP30780 module, focused on exploring trends and patterns in the video game industry. Responsibilities included data cleaning, statistical analysis, and creating visualizations to interpret player engagement and perception metrics. Tools used: Python, Pandas, Matplotlib, and GitLab for version control.

Acceleration of Bi-objective Optimization of Applications for Performance and Energy on Heterogeneous Hybrid Nodes through Workload Distribution

Optimization of Multithreaded Matrix Multiplication, 2D Fast Fourier Transform, 3D Fast Fourier Transform on Multicore CPU Processors Using Parallel Computing Methods