Parallel and High-Performance Computing in Artificial Intelligence

1. Introduction to High-Performance Computing Architectures
Ujjwala Mandekar, Vijaya P. Balpande, Pradnya Borkar, and Pooja B. Aher

2. High-Performance Computing: Use Cases, APIs and Applications
Pradnya Borkar, Sagarkumar Badhiye, Ujjwala Mandekar, Vijaya P. Balpande, Roshani Raut, and Pratik Agrawal

3. Parallelization Techniques
Vijaya P. Balpande, Ujjwala Mandekar, and Pradnya Borkar

4. High-Performance Computing for Machine Learning
Anjali Mahajan, Sachin Solanki, Lekhraj Vilhekar, and Manali Raut

5. Implementation of Parallel Computing with Artificial Intelligence in Big Data Analytics
Dhananjay Bhagat, Pranali Dhawas, Krupali Dhawale, and Rajendra Rewatkar

6. D-UNet: Deep Learning Architecture for Colon Polyp Segmentation in Endoscopic Images
Vrushabh Patil, Aditya Verma, Mohit Zanwar, Anshul Kulkarni, Amit Joshi, and Suraj Sawant

7. Early-Stage Plant Disease Detection Using YOLOv8
Vishwesh Pujari, Sameer Kavthekar, Shreya Vaidya, Dhruva Kapadia, Amit Joshi, and Suraj Sawant

8. Landslide Detection Using Custom Deep Convolutional Neural Network
Sanket Khaire, Suraj Yerkal, Omkar Sonawane, Rushikesh Sanap, Amit Joshi, and Suraj Sawant

9. GPU in Big Data: An Acceleration Technique
Madhavi Sadu, Charanjeet Dadiyala, and Rajeshwar Balla

10. Use of NLP Techniques and High-Performance Computing for Automated Knowledge-Based Ontology Construction of Saffron Crop
Manjushri Sanjay Joshi and Vijaya Vijay Pangave

11. Implementing High-Performance Computing with Artificial Intelligence in Healthcare Systems
Vijaya Kamble, Roshni Bhave, and Priyanka Pitale

12. BLMP2CE: Design of a Dual-Bioinspired Low-Complexity Data Mining Engine with Parallel Processing for Automatic Cluster Analysis via Ensemble Learning Operations
Pragati Narayan Patil and Atul D Raut

13. Deep Learning and Edge Computing with HPC
Ayaz Ahmed Khan, Amita Meshram, Gayatri Raut, and Rajesh Nakhate

14. Usage of IoT, High-Performance Computing, Machine/Deep Learning in Human Activity Recognition Systems: Challenges and Opportunities
Ramanujam E, P Meena Kumari, and K Bharathi

15. Artificial Intelligence in Industry: An Approach to Automation (with Case Studies in Healthcare Authomation Using Quantum Machine Learning)
 Fazil Sheikh and S.Y. Amdani

16. Usage of IoT, Artificial Intelligence, and Machine Learning with HPC: Issues, Challenges, and a Case Study
Reena Thakur

17. Advancing High-Performance Computing for AI in the Era of Large-Scale Models: A Research Roadmap
Santosh Kumar Sahu, Sachin U. Balvir, Ajay Kumar Sahu, Akhil Anjikar, Amit Shewale, and Shravan Kumar Purve

Biography

Dr. M. M. Raghuwanshi is the Dean of Engineering at S.B.Jain Institute of Technology Management and Research, Nagpur, India.

Dr. Pradnya Borkar is an Associate Professor at the Department of Computer Science and Engineering and R&D Cell Incharge, Jhulelal Institute of Technology, Nagpur.

Dr. Rutvij H. Jhaveri is an experienced researcher working in the Department of Computer Science & Engineering, Pandit Deendayal Energy University (PDEU/PDPU), Gandhinagar, India since Dec. 2019.

Dr. Roshani Raut is an as Associate Professor in the Department of Information Technology and Associate Dean International Relations, in Pimpri Chinchwad College of Engineering, Pune, India.