Parallel and High-Performance Computing in Artificial Intelligence by Mukesh Raghuwanshi, Pradnya Borkar, Rutvij H. Jhaveri, and Roshani Raut

Unlock the secrets of supercomputing in artificial intelligence with 'Parallel and High-Performance Computing in Artificial Intelligence,' a comprehensive report on the groundbreaking book edited by Mukesh Raghuvanshi, Pradnya Borkar, Rutvij H. Jhaveri, and Roshani Raut. Perfect for readers who aim to grasp the synergy between high-performance computing (HPC) and AI without delving deep into technical intricacies. The book is a treasure trove of knowledge, designed to make complex concepts accessible and engaging. Discover how HPC is revolutionizing AI, making it an indispensable read for enthusiasts, learners, and professionals alike.

This report aims to provide an easy-to-understand summary of the book "Parallel and High-Performance Computing in Artificial Intelligence." This book was edited by Mukesh Raghuwanshi, Pradnya Borkar, Rutvij H. Jhaveri, and Roshani Raut (1). This report is designed specifically for readers who may not have a deep technical background in computing, but want to understand the important relationship between supercomputing, known as High-Performance Computing (HPC), and Artificial Intelligence or Artificial Intelligence (AI).

In the current digital era, AI, especially its branches such as machine learning (machine learning) and deep learning (deep learning), have demonstrated extraordinary abilities in various fields. However, the power of AI often requires enormous computing power. Modern AI models need to learn from massive amounts of data, often reaching scale Big Data (9). This learning (training) process involves very complex mathematical calculations and takes a long time if you only rely on an ordinary computer. This is where the role of HPC becomes very crucial. This book discusses how HPC, which is essentially the use of super-sophisticated computer systems with multiple processors working together, is a solution to overcome computational challenges in AI (8). HPC provides the “power” needed to speed up data processing and run complex AI applications.