Parallel and High-Performance Computing in Artificial Intelligence
eBook - ePub

Parallel and High-Performance Computing in Artificial Intelligence

  1. 336 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Parallel and High-Performance Computing in Artificial Intelligence

About this book

Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence.

The book's two major themes are high-performance computing (HPC) architecture and techniques and their application in artificial intelligence. Highlights include:

  • HPC use cases, application programming interfaces (APIs), and applications
  • Parallelization techniques
  • HPC for machine learning
  • Implementation of parallel computing with AI in big data analytics
  • HPC with AI in healthcare systems
  • AI in industrial automation

Coverage of HPC architecture and techniques includes multicore architectures, parallel-computing techniques, and APIs, as well as dependence analysis for parallel computing. The book also covers hardware acceleration techniques, including those for GPU acceleration to power big data systems.

As AI is increasingly being integrated into HPC applications, the book explores emerging and practical applications in such domains as healthcare, agriculture, bioinformatics, and industrial automation. It illustrates technologies and methodologies to boost the velocity and scale of AI analysis for fast discovery. Data scientists and researchers can benefit from the book's discussion on AI-based HPC applications that can process higher volumes of data, provide more realistic simulations, and guide more accurate predictions. The book also focuses on deep learning and edge computing methodologies with HPC and presents recent research on methodologies and applications of HPC in AI.

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Yes, you can access Parallel and High-Performance Computing in Artificial Intelligence by Mukesh Raghuwanshi,Pradnya Borkar,Rutvij H. Jhaveri,Roshani Raut in PDF and/or ePUB format, as well as other popular books in Computer Science & Systems Architecture. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. About the Editors
  8. List of Contributors
  9. Chapter 1 Introduction to High-Performance Computing Architectures
  10. Chapter 2 High-Performance Computing: Use Cases, APIs, and Applications
  11. Chapter 3 Parallelization Techniques
  12. Chapter 4 High-Performance Computing for Machine Learning
  13. Chapter 5 Implementation of Parallel Computing with Artificial Intelligence in Big Data Analytics
  14. Chapter 6 D-UNet: Deep Learning Architecture for Colon Polyp Segmentation in Endoscopic Images
  15. Chapter 7 Early-Stage Plant Disease Detection Using YOLOv8
  16. Chapter 8 Landslide Detection Using Custom Deep Convolutional Neural Network
  17. Chapter 9 GPUs in Big Data: Acceleration Techniques
  18. Chapter 10 Use of NLP Techniques and High-Performance Computing for Automated Knowledge-Based Ontology Construction of Saffron Crop
  19. Chapter 11 Implementing High-Performance Computing with Artificial Intelligence in Healthcare Systems
  20. Chapter 12 BLMP2CE: Design of a Dual-Bioinspired Low-Complexity Data Mining Engine with Parallel Processing for Automatic Cluster Analysis via Ensemble Learning Operations
  21. Chapter 13 Deep Learning and Edge Computing with HPC
  22. Chapter 14 Usage of IoT, High-Performance Computing, and Machine/Deep Learning in Human Activity Recognition Systems: Challenges and Opportunities
  23. Chapter 15 Artificial Intelligence in Industry: An Approach to Automation (with Case Studies in Healthcare Automation Using Quantum Machine Learning)
  24. Chapter 16 Usage of IoT, Artificial Intelligence, and Machine Learning with HPC: Issues, Challenges, and a Case Study
  25. Chapter 17 Advancing High-Performance Computing for AI in the Era of Large-Scale Models: A Research Roadmap
  26. Index