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I/O-efficient algorithms
Learn to design algorithms for efficient data processing when working with massive datasets that don't fit in main memory.
Course Cost
₹ 2,699
Advanced
Skill Level
9 Hours
Self-paced lessons
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.
8,055 Enrolled
English
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
Apply time-forward processing techniques for evaluating functions on directed acyclic graphs
Optimize algorithms for scenarios where data doesn't fit entirely in main memory
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
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Faculties
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Frequently asked Questions
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