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C Programming Language Tutorial

This document covers the overview of this reference material.

C is one of the most fundamental programming languages, widely used in systems programming, high-performance computing (HPC), and embedded systems. Despite its age, C remains relevant because of its efficiency, portability, and fine-grained control over hardware.

Why Learn C?

  • Performance: C provides low-level memory control, making it ideal for high-performance applications.
  • Portability: C code can run on almost any platform with minimal modification.
  • Concurrency & Parallelism: Many HPC applications use MPI (Message Passing Interface), which is implemented in C.
  • Used in OS Development: Most operating systems, including Linux, are written in C.

Reference Overview

This reference is meant to build a strong foundation in C, focusing on topics relevant for HPC and MPI programming. The course emphasizes:

Key Topics Covered:

  1. Functions and Modular Programming

    • Function prototypes, pass by value vs. pass by reference, and function pointers.
  2. Pointers & Memory Management

    • Pointer arithmetic, dynamic memory allocation (malloc, free), and double pointers.
  3. Multi-File Code Structure

    • Using header (.h) files, separate compilation, and best practices for modular C programming.
  4. Build Systems: Makefile

    • Automating compilation using make to manage multi-file C projects.
  5. Debugging & Best Practices

    • Tools like gdb and valgrind, and tips to avoid common pitfalls.
  6. Mini Project

    • Implementing a simple matrix operations program using modular C code.

Who Is This For?

This tutorial is for:

  • Beginners who want to learn C beyond basic syntax.
  • Students and Developers preparing for MPI programming.
  • HPC enthusiasts looking to understand how C is used in high-performance applications.

What’s Next?

This tutorial will be followed by an MPI Programming tutorial, where we’ll dive into:

  • Basics of MPI (Message Passing Interface)
  • Writing parallel programs in C using MPI
  • Real-world examples of distributed computing