Learn C programming fundamentals like data types, control flow, functions, pointers, and memory allocation while exploring debugging, profiling, and optimization tools like GDB and gcc.

clang.tar.gz

RunC

RunCwithGNUflags

RunCwithlmflag

Run_go_file 

RunC-without_warning_flag

Compile-only

doNothing

Posix

RunCFileGo

Compile-go-file

Compile-go-debugging-file

OpenMP

Make

MPI4Threads

MPI8Threads

Octave

RunC-without_warning_flag-KS

This comprehensive course covers the fundamentals and advanced concepts of C programming to build a solid foundation for your programming journey. You’ll learn about essential topics like data types, variables, constants, and C statements, along with deeper explorations of control flow in C, including for loops and conditional statements in C. You’ll also learn about C functions, scope of variables, function arguments, and work with arrays, strings, and pointers in C.

You’ll gain hands-on experience with dynamic memory allocation, stack vs. heap, C standard library, and advanced topics such as binary files, input and output streams, and header files. The course also teaches compiling in C, linking in C, and debugging with tools like GNU debugger (GDB) and gprof for code profiling. By mastering these concepts, you’ll confidently program in C and optimize your code using gcc optimization flags.

Learn C

# Need for speed

Why parallel programming? Simply put, because it may speed up your code. Today, your computer (and probably even your smartphone) has one or more CPUs that have multiple processing cores. This helps with desktop computing tasks like multitasking (running multiple programs, plus the operating system, simultaneously). For scientific computing, this means that we have the ability in principle of splitting up our computations into groups and running each group on its own processor.

## Utilities for processor usage

Most operating systems have a utility that allows us to visualize processor usage in real-time. Mac OSX has “Activity Monitor”, Gnome/GNU Linux has “gnome-system-monitor” and Windows has "Task manager". Fire it up, and run a computationally intensive program you have written, and what you'll probably see is that you have a lot of computational power that is sleeping. Parallel programming allows us in principle to take advantage of all that dormant power.

It's obvious that parallel programming is a very powerful tool, especially with the degree of freedom it provides. However, there are certain types of parallel programming which fit different situations. We'll look at these types next.

Enter the world of parallel programming and learn why it's so essential.

Why Parallel Programming?

Introduction to C Programming

Data Types in C

C Operators and C Expressions

Control Flow in C

Functions in C

Complex Data Types

Stack vs. Heap

Pointers in C

C string

Input and Output Stream

Macros and the C Preprocessor

Header Files, Compiling and Linking

C Debugger

Code Profiling

Parallel Programming in C

Project: Using a Bootstrapped t-test

Conclusion

Miscellaneous

Appendix: Setting Up the Environment

Why Parallel Programming?

Need for speed