Parallelism and Concurrency

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Related lectures (32)

Page 1 of 4

Introduction to Concurrency

Covers the basics of concurrency, its importance, and how to write concurrent programs.

Dining philosopher problem

Presents an algorithm to prevent starvation and maximize philosophers eating simultaneously.

Akka Streams: Programming Reactive Systems

Covers Akka Streams basics, stream stages concurrency, materialized values, and more.

Atomic Operations: Basics and Applications

Covers the basics of atomic operations in concurrency and parallelism, including hardware-provided operations and synchronized algorithms.

Concurrency and Parallelism: Visibility

Explores visibility in concurrency, memory models, shared memory, and hardware optimizations.

Dining Philosophers Problem

Discusses algorithms to prevent starvation and maximize philosophers eating simultaneously.

Sequential consistency: Basic Concepts

Explains the Sequential Consistency model in concurrency and parallelism, covering program order, atomicity, and performance implications.

Concurrency Control & Recovery in Databases

Delves into transaction management, concurrency control, and recovery in databases to ensure data integrity and system resilience.

Transactions: Concepts and Implementations

Explores the significance and challenges of transactions, emphasizing ACID properties and the practical implications of using transactional memory for concurrency control.

Transaction Management & Concurrency Control

Explores transaction management, concurrency control, ACID properties, anomalies, and conflict serializability in database systems.