The focus of this free programming book is the research of Parallel Computing and Programming, which serves as an abstract indicator of the complexity of parallel computing problems.

Its main objective is to demonstrate how building efficient parallel algorithms can benefit from the theoretical study of parallel computing complexity. The author demonstrates how to derive crucial information about the parallel complexity of particular computing problems from knowledge of their parallel computing complexity, including parallel time, the number of processors, and the descriptional complexity of the topology of the parallel architecture. The book offers a thorough overview of the topic and inspiration for additional research. It is written as a textbook for undergraduate and graduate students.