Data Management

Interactions with Computer Architecture and Systems

Inbunden, Engelska, 2024

785 kr

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Beskrivning

This guide illuminates the intricate relationship between data management, computer architecture, and system software. It traces the evolution of computing to today's data-centric focus and underscores the importance of hardware-software co-design in achieving efficient data processing systems with high throughput and low latency. The thorough coverage includes topics such as logical data formats, memory architecture, GPU programming, and the innovative use of ray tracing in computational tasks. Special emphasis is placed on minimizing data movement within memory hierarchies and optimizing data storage and retrieval. Tailored for professionals and students in computer science, this book combines theoretical foundations with practical applications, making it an indispensable resource for anyone wanting to master the synergies between data management and computing infrastructure.

Produktinformation

Utgivningsdatum:2024-11-28
Mått:175 x 250 x 21 mm
Vikt:707 g
Format:Inbunden
Språk:Engelska
Antal sidor:304
Förlag:Cambridge University Press
ISBN:9781009123310

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Ledarskap och motivation inom Ekonomi och Ledarskap
Databaser inom Data och IT

Mer om författaren

Xiaodong Zhang is Robert M. Critchfield Professor in Engineering and University Distinguished Scholar at the Ohio State University. He specializes in data management in computer and distributed systems. His influential research is broadly adopted in various sectors. Notably, he received the ACM MICRO Test of Time Award in 2020 and is a Fellow of both ACM and IEEE. Rubao Lee is a distinguished computer scientist who has made significant contributions to GPU-accelerated database systems and data processing. His innovations, like RCFile and YSmart, are widely adopted in industry. He received ICDCS's 2011 Best Paper Award and the Ohio State University's 2018 Lumley Research Award.

Recensioner i media

'Data Management: Interactions with Computer Architecture and Systems is a must-have for any software engineer. This comprehensive book distills decades of research and engineering practices into a clear and insightful guide. Readers will gain a systematic understanding of cutting-edge advancements, making it an invaluable resource for solving real-world problems.' Kaibo Wang, Uber Technologies

Innehållsförteckning

About the authors; Preface; 1. Introduction; 2. Data storage: physical allocation and logical format; 3. Main memory: the physical space; 4. Buffer replacement algorithms; 5. In-memory data processing in large data centers; 6. GPU computing: a new algorithm-to-architecture interaction; 7. GPU for structured data; 8. GPU for spatial data: a case study in pathology imaging applications; 9. Ray tracing hardware in GPUs for accelerated computation; 10. The future of computing – synergies in data management and system architecture; Bibliography; Index.