Compiling with MultiCores

Technology is evolving continuously at an exponential rate in terms of its performance. Traditional processors just have one core, however their computational capacity has been outgrown. Increasing the single core’s clock frequency is one technique to boost the system’s performance. A multitude of problems, including excessive power dissipation and CPU overheating, will arise when the frequency is increased. This issue was resolved by adding more cores to the same CPU to increase processing speed. Multicore processors are the term used to describe this architectural breakthrough. Each core functions independently. Due to these modifications, programmers are forced to code in parallel. We must create code that leverages several cores in parallel. The parallel programming paradigm was developed to create such programmes. The transition from sequential to parallel execution in the software development industry has been greatly influenced by parallel processing. We have OpneMP and MPI constructs, which may be utilised with current languages to parallelize the code.

I. Introduction

An application that transforms source code into target code or object code is known as a compiler. High level language is used to write source code. Compilers create object code. Source code is the compiler’s input, while target code is its output.