Introduction to High Performance Computing for Scientists and Engineers (Computational Science)

The book 'Introduction to High Performance Computing for Scientists and Engineers' is an informative introduction book for those who want to understand the fundamentals of High-Performance Computing (HPC). The book covers several relevant aspects of HPC, including hardware, algorithm design, and parallel processing. The authors emphasize the importance of maximizing performance of serial programs before applying parallelization strategies, and each chapter has a set of questions that extend the concepts covered therein. The book provides a good overview of optimizing code for memory management and discusses the importance of a compiler in executing programs on the CPU. However, some reviewers found the book to be written in a dense style that uses a lot of jargon, making it difficult to follow. Others felt that the organization of the book could be improved, with some topics being spread across several chapters. The book primarily uses FORTRAN for most of the code examples, which some readers found unfortunate. However, it contains C++ code scattered here and there, which contains more problems than the FORTRAN code. In summary, 'Introduction to High Performance Computing for Scientists and Engineers' is a worthwhile read for anyone interested in the fundamentals of HPC. It is suitable for self-study and provides an overall understanding of HPC hardware, algorithms, and parallel processing. However, the writing style and organization, as well as the choice of language for code examples, may make it difficult for some readers to follow. **