Course overview
This course explores algorithmic techniques for processing large-scale data efficiently when it cannot fit entirely into a computer’s main memory. You will learn how to design and analyse algorithms that minimise data transfers between fast internal memory and slower external storage, a critical consideration in modern data-intensive applications. The course combines theoretical foundations with practical approaches for handling massive datasets in areas such as databases, scientific computing, and big data systems.
What you will learn:
- Fundamentals of the I/O model and external memory computation.
- Design principles for I/O-efficient algorithms.
- Techniques for efficient sorting, searching, and data management on large datasets.
- Analysis of algorithm performance based on memory transfers and storage access.
- Data structures optimised for external memory environments.
- Applications of I/O-efficient algorithms in databases, big data, and large-scale computing.
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