Description
Book SynopsisAn In-Depth, Practical Guide to GPGPU Programming Using Direct3D 11
GPGPU Programming for Games and Science demonstrates how to achieve the following requirements to tackle practical problems in computer science and software engineering:
- Robustness
- Accuracy
- Speed
- Quality source code that is easily maintained, reusable, and readable
The book primarily addresses programming on a graphics processing unit (GPU) while covering some material also relevant to programming on a central processing unit (CPU). It discusses many concepts of general purpose GPU (GPGPU) programming and presents practical examples in game programming and scientific programming.
The author first describes numerical issues that arise when computing with floating-point arithmetic, including making trade-offs among robustness, accuracy, and speed. He then shows how single instruction multiple data (SIMD) extensions wo
Table of Contents
Introduction. CPU Computing. SIMD Computing. GPU Computing. Practical Matters. Linear and Affine Algebra. Sample Applications. Bibliography.
