Abstract
The focus of this project is to practice sequential order matrix computation and parallel matrix multiplication to discover out how much more efficient parallel matrix multiplication is while using multi-thread programming. When dealing with sequential matrix multiplication it will permit the user or the computer to implement one task at a time, but when consuming parallel matrix multiplication with multi-thread programming it will allow the user or computer to execute up to twenty-four computations at a time, this is per thread. Using multi-thread programming this will use a smaller quantity systems resources compared to forking a child process to handle the connection request. Multi-thread programming will also share all global variables, and allow the programmer to separate multi tasks easily within a process.