Course description

 Print elements of a linked list in forward and reverse order using recursion - Reverse a linked list using recursion - Data structures: Introduction to Doubly Linked List - Doubly Linked List - Implementation in C/C++ - Data structures: Introduction to stack - Data structures: Array implementation of stacks - Data Structures: Linked List implementation of stacks - Reverse a string or linked list using stack - Check for balanced parentheses using stack - Infix, Prefix and Postfix - Evaluation of Prefix and Postfix expressions using stack - Infix to Postfix using stack - Data structures: Introduction to Queues,Array implementation of Queue,Linked List implementation of Queue,Introduction to Trees,Binary Tree,Binary Search Tree - Binary search tree - Implementation in C/C++ - BST implementation - memory allocation in stack and heap - Find min and max element in a binary search tree - Find height of a binary tree - Binary tree traversal - breadth-first and depth-first strategies - Binary tree: Level Order Traversal - Binary tree traversal: Preorder, Inorder, Postorder - Check if a binary tree is binary search tree or not - Delete a node from Binary Search Tree - Inorder Successor in a binary search tree - Data structures: Introduction to graphs - Data structures: Properties of Graphs - Graph Representation:Edge List,Adjacency Matrix

What will i learn?

Requirements

skill expert

Free

Lectures

41

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes

Related courses

Beginner

Memory Systems

0

(0 Reviews)

Compare

Overview In this course, we first provide a comprehensive overview of memory systems, taking an approach that covers both fundamentals and recent research. We first introduce fundamental principles and ideas, covering DRAM and emerging memory technologies as well as many architectural concepts and ideas related to memory organization, memory control, processing-in-memory, and memory latency / energy / bandwidth / reliability / security / QoS. We discuss major challenges facing modern memory systems (and the computing platforms we currently design around the memory system) in the presence of greatly increasing demand for data and its fast analysis. We examine some promising research and design directions to overcome these challenges. On the research-related part of course (sprinkled across topical lectures), we discuss the following key research topics in detail, focusing on both open problems and potential solution directions: Fundamental issues in memory reliability and security and how to enable fundamentally secure, reliable, safe architectures Enabling data-centric and hence fundamentally energy-efficient architectures that are capable of performing computation near data Reducing both latency and energy consumption by tackling the fixed-latency/energy mindset Enabling emerging memory technologies Enabling predictable and QoS-aware memory systems Research challenges and opportunities in enabling emerging NVM (non-volatile memory) technologies Scaling NAND flash memory and SSDs (solid state drives) into the future

Free

22:36:25 Hours