This guide explores the synergy of hardware, software, and data management in modern computing, blending techniques with practical insights.
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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.
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Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781009123310