GPGPU Programming for Games and Science

GPGPU Programming for Games and Science provides a comprehensive guide to achieving robustness, accuracy, speed, and quality in computer science and software engineering. This book focuses on programming on graphics processing units (GPUs) using Direct3D 11 and the High Level Shading Language (HLSL), covering topics such as numerical issues with floating-point arithmetic, SIMD extensions, and vector and matrix algebra. The author explores practical matters of GPU programming, including code sharing among applications, performing basic tasks on the GPU, and configuring multiple GPUs to work together. The book also delves into advanced topics, presenting sample GPGPU applications that demonstrate its relevance in scientific programming. With a focus on mathematics and programming techniques, this guide is ideal for developers looking to improve their skills in GPGPU programming. By mastering the concepts and techniques presented in this book, readers can create high-performance applications that take advantage of GPU capabilities, leading to improved accuracy, speed, and quality in their work.