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404 results in Computer engineering

Page 2 of 21

  • 5 - In-Memory Data Processing in Large Data Centers

  • Xiaodong Zhang, The Ohio State University, Rubao Lee, The Ohio State University
  • Book:
    Data Management
    Published online:
    21 November 2024
    Print publication:
    28 November 2024, pp 109-121

  • 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.

  • 7 - GPU for Structured Data

  • Xiaodong Zhang, The Ohio State University, Rubao Lee, The Ohio State University
  • Book:
    Data Management
    Published online:
    21 November 2024
    Print publication:
    28 November 2024, pp 167-202

  • Summary

    This chapter delves into the management of structured data using GPUs. It demonstrates the construction of a GPU-based SQL database engine, encompassing both hash-based and sorting-based relational operator algorithms. The chapter explores how complex SQL concepts like subqueries can be efficiently interacted with GPUs for optimal performance, offering insights into the advancements and potential of GPU computing in structured data management.

  • 1 - Introduction

  • Xiaodong Zhang, The Ohio State University, Rubao Lee, The Ohio State University
  • Book:
    Data Management
    Published online:
    21 November 2024
    Print publication:
    28 November 2024, pp 1-16

  • Summary

    This opening chapter provides a historical perspective on the evolution of computing, tracing its journey from early computational methods to the emergence of networking and the advent of data-centric computing. The chapter sets out to inspire readers to develop a holistic understanding of the intricate interactions among hardware, software, and networking. It introduces the principle of hardware and software codesign as a critical approach in constructing efficient data management systems. The goal is to achieve high throughput and low latency in modern data processing, setting the stage for the detailed exploration that follows in subsequent chapters.

Page 2 of 21