I/O-efficient algorithms
Learn to design algorithms for efficient data processing when working with massive datasets that don't fit in main memory.
Learn to design algorithms for efficient data processing when working with massive datasets that don't fit in main memory.
This advanced course covers I/O-efficient algorithms, also known as external memory or cache-oblivious algorithms, designed for processing large datasets. It explores techniques for efficient data handling when working with limited main memory and external storage. Students will learn about the I/O model, algorithm analysis, and various I/O-efficient data structures and techniques.
4.6
(60 ratings)
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What you'll learn
Understand the I/O model and its importance in algorithm design for large datasets
Analyze algorithms in the I/O model to determine their efficiency
Design cache-aware and cache-oblivious algorithms for improved performance
Comprehend various memory replacement policies and their impact on I/O efficiency
Implement I/O-efficient sorting algorithms for large-scale data processing
Utilize I/O-efficient data structures such as B-trees and buffer trees
Skills you'll gain
This course includes:
171 Minutes PreRecorded video
6 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course provides an in-depth exploration of I/O-efficient algorithms, which are crucial for processing massive datasets that don't fit entirely in a computer's main memory. The curriculum is structured into six modules, covering the fundamentals of the I/O model, techniques for designing cache-aware and cache-oblivious algorithms, replacement policies, I/O-efficient sorting, data structures, and time-forward processing. Students will learn how to analyze and optimize algorithms for efficient data transfer between internal and external memory, a critical skill for working with big data and large-scale systems. The course combines theoretical concepts with practical applications, using examples like matrix transposition and graph algorithms to illustrate key principles.
Introduction
Module 1 · 1 Hours to complete
Designing cache-aware and cache-oblivious algorithms
Module 2 · 1 Hours to complete
Replacement Policies
Module 3 · 46 Minutes to complete
I/O-efficient sorting
Module 4 · 2 Hours to complete
I/O-efficient data structures
Module 5 · 1 Hours to complete
Time-Forward Processing
Module 6 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Expert in Algorithms and Data Structures at TU Eindhoven
Prof. Dr. Mark de Berg is a full professor at TU Eindhoven, specializing in algorithms and data structures, particularly in the context of spatial data. He earned his MSc in computer science from Utrecht University in 1988 and completed his PhD at the same institution in 1992. His research focuses on developing efficient algorithms and data structures that can handle spatial information, contributing significantly to advancements in computer science. Prof. de Berg is actively involved in teaching and mentoring students, sharing his expertise in the field through various courses offered in English.
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4.6 course rating
60 ratings
Frequently asked questions
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