The book "High-Performance Computing on Graphic Processes. Educational and Methodological Manual”, created by the team of authors, is a unique resource for everyone who is interested in modern data processing and computing technologies . With the rapid development of information technologies and an increase in the amount of information processed, this manual becomes an indispensable tool for students, graduate students, as well as practitioners in the field of computer science and engineering. This tutorial offers a deep dive into the world of high-performance computing (HPC) using GPUs (GPUs). It covers a wide range of topics, ranging from the basics of the architecture of GPUs to complex algorithms and methods for optimizing calculations. Readers will be able to learn how to effectively use the GPU to solve problems that require significant computing resources, such as modeling, image processing and machine learning. The book will be especially interesting for those who already have basic knowledge in the field of programming and want to expand their skills by mastering new technologies. Technical students, researchers and software developers will find in this manual a lot of useful tips and practical examples that will help them to apply theoretical knowledge in practice. It will also be useful for those who work in the field of scientific research and need effective tools for processing big data. One of the key topics addressed in the book is parallel programming. The authors explain in detail how to use parallel computing to speed up data processing, which is an important aspect in modern computational tasks. Readers will be able to get acquainted with programming languages such as CUDA and OpenCL, which allow you to use the capabilities of graphics processors as efficiently as possible. This manual not only teaches, but also inspires experiments, offering readers the opportunity to independently develop and test their algorithms. The style of the authors is characterized by accessibility and clarity of presentation, which makes the material understandable even for those who are just starting their way in the world of high-performance computing. The book is filled with practical examples and tasks, which allows readers not only to assimilate the theory, but also to apply it in practice. This makes the manual ideal for both self-study and for use in training courses. In the context of other well-known works, this manual can be compared to the works of such authors as John Hanke and his "CUDA by Example", as well as "Programming Massively Parallel Processors" by David B. Kaplan . However, "High-Performance Computing on Graphic Processes" stands out for its structure and emphasis on the practical application of knowledge. The book raises important topics such as optimization of computing processes, resource use and big data management, which makes it relevant in the modern world, where data becomes the new “gold”. Readers will not only be able to improve their skills, but also gain insight into the future of high-performance computing and its impact on a variety of fields, from science to business. If you are looking for a book that will help you master advanced computing technologies and open up new horizons in your career, then “High-Performance Computing on Graphics Processes. Tutorial" will become your reliable companion in this fascinating journey. Don’t miss the chance to be part of a future where GPUs play a key role in data processing and analysis!