Xiaodong Zhang, Rubao Lee

Data Management

• Gebundenes Buch

Produktbeschreibung

This guide offers a unique perspective on optimizing data processing which blends hardware and software insights, combining theoretical foundations with practical applications. It is a must-read for students and professionals needing to master the synergies between data management and computing infrastructure.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 304
• Erscheinungstermin: 28. Oktober 2024
• Englisch
• Abmessung: 250mm x 175mm x 21mm
• Gewicht: 707g
• ISBN-13: 9781009123310
• ISBN-10: 1009123319
• Artikelnr.: 70899798

Autorenporträt

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.

Inhaltsangabe

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.