Data Structures Playlist
Comprehensive playlist covering essential data structures, from arrays to advanced trees, with implementation details and algorithmic applications.
Intro to Database Systems - Fall 2017
Comprehensive introduction to database systems covering relational models, SQL, storage, query processing, optimization, concurrency control, recovery, and distributed systems.
Intro to Database Systems - Fall 2019
Comprehensive exploration of database systems covering relational models, SQL, storage, indexing, query execution, concurrency control, recovery, and distributed databases. Ideal for aspiring database professionals.
Intro to Database Systems - Fall 2021
Comprehensive exploration of database systems covering relational models, SQL, storage, indexing, query execution, concurrency control, recovery, and distributed databases. Ideal for aspiring database professionals.
Unlock the Power of Parallel Computing With SWAR (SIMD Within A Register)
Unlock parallel computing power with SWAR technique. Explore SIMD-like operations using conventional CPU registers, boosting performance for hash tables, string functions, and more. Dive into benchmarks and real-world applications.
Java Data Structures
Master essential data structures in Java: arrays, stacks, queues, linked lists, trees, graphs, and hash tables. Gain practical implementation skills and understand their applications and trade-offs.
Java Data Structures
Comprehensive exploration of Java data structures, from arrays to graphs, with practical implementations and in-depth explanations of key concepts like trees, heaps, and hash tables.
The Cost of Hash Tables - The Backend Engineering Show
Explore hash tables' efficiency in caching, database joins, and load balancing, while examining their costs and limitations in various applications and programming languages.
An Introduction to Data Structures
Comprehensive exploration of 12 essential data structures, covering their fundamentals, implementation, and practical applications in computer science, with a focus on efficiency and BigO notation.
The Future is Native - JVM Language Summit 2015
Explore the future of native computing in JVM languages, focusing on packed objects, memory layouts, and performance optimizations for modern hardware architectures.
Hash Tables - Data Structures and Algorithms
Learn about hash tables, a crucial data structure for efficient data retrieval and storage. Explore implementation, collision handling, and practical applications in algorithm design.
Introduction to Hashing in Data Structures - Hash Functions, Hash Tables, Hash Keys, and Hash Values
Master the fundamentals of hashing in data structures, including hash functions, tables, keys, and values. Learn efficient data storage and retrieval techniques for optimized programming solutions.
Challenges and Opportunities in Hash Table Optimization for Persistent Memory
Dive into optimizing hash tables for persistent memory, exploring design constraints, performance implications, and new programming paradigms for efficient database operations.
Building a Faster-Than-Rust-and-C++ Perfect Hash Table
Explore the journey of optimizing hash tables, from basic concepts to advanced techniques, achieving performance improvements that surpass Rust and C++.
What Is Hashing - Why Do We Need It - What Is a Hash Function - Example - Array vs Hash Table
Explore hashing, hash functions, and hash tables. Learn their importance and benefits over arrays through practical examples and comparisons.
Closed Hashing - Linear Probing, Quadratic Probing & Double Hashing - Collision Control
Explore closed hashing techniques: linear probing, quadratic probing, and double hashing. Learn collision control strategies for efficient hash table implementation and data structure optimization.
Photon Vectorized Execution Engine - Technical Deep Dive
Explore Photon's vectorized execution engine, learning about expression evaluation, compute kernels, runtime adaptivity, and vectorized operations for enhanced data processing efficiency.
The Linux Maple Tree
Explore the Maple Tree, a new Linux data structure optimized for modern CPUs, offering efficient index range storage and outperforming existing solutions.
Rehashing Hash Tables and Associative Containers
Explore novel improvements in generic programming for associative containers, including performance enhancements, API design, and compile-time perfect hash tables. Learn advanced C++ techniques for efficient key-value mapping.
How Generic Programming and C++ Portability Give Great Performance and Knowledge of What Performs Well
Explore how generic programming in C++ enables high performance, adaptability, and insights into hardware capabilities through configurable hash table implementations.
From Zero to Binary Search Tree
Explore fundamental data structures like Hash Tables, Arrays, Stacks, Queues, Linked Lists, and Binary Search Trees through hands-on building, enhancing your structured data skills for JavaScript development.