In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field. Features a holistic and in-depth look at basic parallel programming Equal emphasis on both the theoretical underpinnings and practical applications of the subject A large number of illustrations to explain the concepts and techniques Objectives and important ideas introduced in each chapter is highlighted A supplements package comprising a solutions manual, and teaching aids for instructors