Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

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Abstract: Characterizing and predicting the training performance of modern machine learning (ML) workloads on compute systems with compute and communication spread between CPUs, GPUs, and network ...

Abstract: The nonuniform large damping introduced by grid-forming (GFM) converters in multi-machine system could destabilize the power system under large disturbance, which may bring new challenges to ...

Welcome to the Machine Learning from WsCube Tech repository! This repository contains tutorials, projects, and examples from the WsCube Tech machine learning course. It covers various machine learning ...

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...