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.
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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.
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.
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Hardcover. Condition: 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. Seller Inventory # 9781009123310