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September 5, 2025BULLETIN OF HIGH TECHNOLOGY

Research of Model for Increase Learning Speed of a Neural Network in the Linux Operating System

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Authors

TJTimur Jamgharyan

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Overview

This research finds improved training speed in convolutional neural networks using better resource allocation in Linux, suggesting practical configurations.

Key Points

  • Optimized resource allocation strategies significantly improve the training speed of neural networks.
  • Training speed increased by configuring the quantum of processor time in computing clusters.
  • Analysis focused on the efficiency of convolutional neural network training in a multitasking Linux environment.
  • Recommendations for optimizing Linux system settings for enhanced neural network performance are provided.

Cite This Study

Timur Jamgharyan (2025) studied this question.

synapsesocial.com/papers/68bb3d682b87ece8dc956a24https://doi.org/10.56243/18294898-2025.2-99
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