Anirudh Madhigiri Gopinath

Master thesis - Analysis of Job Traces in HPC Systems Developed Machine Learning classification models to classify failed or canceled jobs to achieve 85% accuracy. Trained Machine Learning regression models to predict resources such as memory, CPU, and time required for the jobs, achieving a 90% R2 score. Utilized unsupervised Machine Learning techniques, such as K-Means and HDBSCAN, to identify job types. Enhanced predictive analysis using neural networks and sequential models.