The book "High-Performance Computing on Graphic Processes. Laboratory Workshop” edited by a team of authors is a unique publication that immerses the reader in the world of modern computing technologies using graphics processors (GPU) to solve complex problems. If you are interested in high-performance computing, programming in CUDA or OpenCL, and want to learn how to effectively use GPUs in scientific and engineering tasks, then this publication will be a real guide for you. The book is intended for students, graduate students, and computer science professionals, as well as anyone seeking to expand their knowledge of high-performance computing. It will be useful both for those who are just beginning their journey in this area, and for experienced developers who want to deepen their skills. If you are looking for a practical guide that will help you master the basics of working with the GPU, and also give the opportunity to apply the knowledge gained in practice, then this laboratory workshop will be an excellent choice. In "High-Performance Computing on GPUs," the authors raise a host of current topics, such as GPU architecture, parallel computing, algorithm optimization, and working with big data. The book offers the reader not only theoretical knowledge, but also practical tasks that will help to consolidate the studied material. Each chapter includes lab work, which makes learning more interactive and fun. You will be able not only to read, but also to experiment, creating your own projects and solving real problems. The style of the authors is characterized by accessibility and clarity of presentation, which allows even beginners to quickly understand complex concepts. They use many examples and illustrations that make the material more visual and understandable. In addition, the book discusses current tools and technologies, which allows the reader to be aware of the latest trends in high-performance computing. Equally important, this edition contains many practical tips and tricks that will help to avoid common errors when working with GPUs. The authors share their experience and offer readers useful optimization techniques, which makes the book not only a textbook, but also a real guide for practitioners. If you’re looking for literature similar to High-Performance Computing on GPUs, check out books like John Nicol’s CUDA for Programmers, Graphic Processors for Scientific Computing, and Parallel Computing on GPUs. These works will help you deepen your knowledge and expand your horizons in the field of high-performance computing. In conclusion, "High-performance computing on GPUs. The laboratory workshop is not just a book, but a whole world of opportunities for those who want to master advanced technologies and apply them in their professional activities. It will become an indispensable assistant for all who seek new knowledge and want to be one step ahead in the rapidly changing world of information technology. Do not miss the chance to discover new horizons and immerse yourself in the fascinating world of high-performance computing!