Zichen Xu – författare

AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time.- Provides an in-depth analysis of the underlying principles behind the use of knowledge in intelligent computing systems- Centers around application-driven and full-stack penetration, focusing on the knowledge required to complete this application at all levels of the software and hardware technology stack- Supporting experimental tutorials covering key knowledge points in each chapter provide practical guidance and formalization tools for developing a simple AI computing system

AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time. Provides an in-depth analysis of the underlying principles behind the use of knowledge in intelligent computing systems Centers around application-driven and full-stack penetration, focusing on the knowledge required to complete this application at all levels of the software and hardware technology stack Supporting experimental tutorials covering key knowledge points in each chapter provide practical guidance and formalization tools for developing a simple AI computing system

The book explores core concepts, technologies, and challenges of distributed data services. It aims to provide researchers, engineers, and students with a deep understanding of theoretical foundations and practical applications in distributed data systems. The book covers four main aspects: transaction models, processing languages, consistency mechanisms, and system architectures, exploring current research and practical applications. A key feature is its inclusion of hands-on exercises and practical training, notably offering step-by-step guidance on building a strong consistency protocol and implementing its operational framework. Readers will gain comprehensive understanding of core concepts, from storage architectures to consistency synchronization protocols. They'll master practical skills for designing and implementing efficient distributed systems, while gaining insight into industry trends and future directions. The book fills a gap in current literature by offering comprehensive coverage from theory to practice, making it significant for both research and industry in the era of big data and cloud computing.