“Optimizing Algorithmic Efficiency: Exploring Advanced Data Structures for High-Performance Computing”-Reference-Cited by-同舟云学术

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“Optimizing Algorithmic Efficiency: Exploring Advanced Data Structures for High-Performance Computing”

Published:2024-06-14 Issue: Volume:1 Page:6-11
ISSN:
Container-title:2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)
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Author:

Rao Lade. Gunakar¹,Nitya Erupaka²,Devi Kusumba Jyoshna³,Rajchandar K.¹,Narasimha Murthy S.⁴

Affiliation:

1. SR University,School of Computer Science and Artificial Intelligence,Warangal,Telangana,India

2. CVR College of Engineering,Department of CSE(DS),Hyderabad,Telangana,India

3. Government Degree College,Computer Science And Applications,Warangal,Telangana,India

4. Department of Computer Science and Engineering,Hyderabad,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10638335/10638336/10638374.pdf?arnumber=10638374

Reference24 articles.

1. Efficient optimization algorithms for various machine learning tasks, including classification, regression, and clustering

2. Hyperparameter optimization of data-driven AI models on HPC systems

3. Categorical Data Structures for Technical Computing

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