Parallelism

Explore the concept of parallelism in D programming and learn how to run independent operations simultaneously across multiple CPU cores. Understand the use of std.parallelism module features to optimize code execution, improve performance, and handle parallel tasks with range algorithms. This lesson equips you to efficiently implement parallelism in your D applications.

We'll cover the following...

- What is parallelism?

1.Introduction

2.Lifetimes, null Value and the is Operator

3.Type Conversions

4.Structs

5.Variable Number of Parameters

6.Function Overloading and Member Functions

7.Constructor and Other Special Functions

8.Operator Overloading

9.Introduction to Classes

10.Inheritance

11.The Object Class

12.Interfaces

13.destroy and scoped

14.Modules and Libraries

15.Encapsulation and Protection Attributes

16.UFCS, Properties and Contract Programming

17.Templates

18.Pragmas, alias and with

19.Pointers

20.Bit Operations

21.Conditional Compilation

22.Function Pointers, Delegates, and Lambdas

23.foreach with Structs and Classes

24.Unions, Labels, goto and Tuples

25.More Templates

26.More Functions

27.Mixins

28.Ranges

29.static foreach and Parallelism

30.Message Passing Concurrency

31.Data Sharing Concurrency

32.Fibers

33.Memory Management

34.User Defined Attributes (UDA) and Operator Precedence

35.Conclusion

Parallelism

What is parallelism?