Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- Acknowledgements
- 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
- References
- Index
5 - In-Memory Data Processing in Large Data Centers
Published online by Cambridge University Press: 21 November 2024
Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- Acknowledgements
- 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
- References
- Index
Summary
This chapter explores the crucial alternative to traditional data processing methods, focusing on in-memory data processing. It discusses storing large volumes of data in DRAM for efficient and rapid data access, while using disk and SSD storage mainly for backup and archival purposes. The chapter sheds light on the benefits and significance of this approach, emphasizing its role in enabling efficient computing tasks. It also examines the implications of this shift for disk utilization, highlighting the transition towards using disk and SSD storage as secondary mediums, rather than primary data sources.
- Type
- Chapter
- Information
- Data ManagementInteractions with Computer Architecture and Systems, pp. 109 - 121Publisher: Cambridge University PressPrint publication year: 2024