Parallel Algorithms
Parallel Algorithms, short for Parallel Computing Algorithms, are algorithms designed to leverage multiple processing units simultaneously to solve computational problems faster than serial algorithms. They are used in multi-core CPUs, GPUs, and distributed systems to optimize performance for tasks such as sorting, searching, numerical simulations, and data analysis.
OpenMP
OpenMP, short for Open Multi-Processing, is an API for shared-memory parallel programming in C, C++, and Fortran. It was initially developed in 1997 by a consortium of hardware and software vendors to provide a standard for parallelizing code on multi-core systems. OpenMP is widely used in scientific computing, numerical simulations, image processing, and high-performance applications.