Principles of Parallel Scientific Computing: A First Guide to Numerical Concepts and Programming Methods

Modern computers are essential for efficient numerical simulations in scientific and engineering fields, enabling us to solve bigger and more accurate problems. This textbook provides an introduction to applied mathematics and parallel programming for students with programming skills, focusing on the basics needed to write numerical simulations for multicore workstations. It aims to make theoretical and paradigmatic ideas accessible to undergraduate students and to bring the fascination of the field across.

Format: Paperback / softback
Length: 314 pages
Publication date: 10 February 2022
Publisher: Springer Nature Switzerland AG

New insights in numerous scientific and engineering domains are simply unimaginable without the effective utilization of numerical simulations executed seamlessly on modern computers. The faster we obtain new results, the more complex and accurate problems we can solve. It is the harmonious blend of mathematical concepts and efficient programming that propels progress across diverse disciplines. Consequently, future champions in this field must possess a deep understanding of fundamental mathematical principles, as well as the ability to deliver fast code.

The present textbook is specifically designed for students who already possess programming skills and are comfortable with mathematics, although they may have received education in computer science or a specific application domain. It serves as an introduction to the fundamental concepts and ideas behind applied mathematics and parallel programming, which are essential for developing numerical simulations for today's multicore workstations. Our primary objective is not to delve into a specific application domain or introduce a new programming language; rather, we aim to provide the foundational principles that will serve as the basis for future courses and projects in this area.

The text is written in a clear and concise manner, making it accessible to students without extensive mathematical backgrounds. It prioritizes clarity and intuition over formalism, employing a straightforward N-body simulation setup to illustrate fundamental concepts that are relevant in various scientific computing subdomains. Our primary goal is to make theoretical and paradigmatic ideas accessible to undergraduate students, while also captivating their interest in the field.

Weight: 502g
Dimension: 154 x 233 x 23 (mm)
ISBN-13: 9783030761936
Edition number: 1st ed. 2021