If you're familiar with the writing of David Eberly, you'll come to this book knowing what to expect: exacting (sometimes tedious), low-level, mathematical explanations of the subject. Unfortunately, while the topics actually covered by this book are well-suited to this writing style, the book as a whole underwhelms. The reasons for this will become obvious as we go through the book chapter-by-chapter below.
Chapter 1 is a brief overview of the subject matter.
Chapter 2 deals primarily with finite binary encodings of the reals, with emphasis on the IEEE 754 floating-point standard. Much of this material could have been pared down or omitted. Even "Numerical Recipes in C", a book entirely about numerical methods, spends only a few pages on such low-level technicalities.
Chapter 3 is a discussion of SIMD computing. It covers some useful techniques for avoiding branching, and places a heavy emphasis on polynomial approximations of common arithmetic and trigonometric functions. Eberly takes a principled approach using the Chebyshev equioscillation theorem (in particular, the Remez algorithm for computing minimax approximations). The second half of the chapter is somewhat redundant due to the presence of intrinsics in HLSL for all of the described functions.
Chapter 4 is the first practical chapter in the book. It introduces the 3D graphics pipeline, with a brief discussion of coordinate spaces, projection, and rasterization. A few trivial shaders are decompiled and analyzed, but this chapter is mostly a laundry list of the steps required to do useful work with Direct X 11. Everything you would expect to see is here: devices, contexts, swap chains, buffers, textures, states, shaders, and techniques for copying from CPU to GPU and vice-versa. A few, mostly trivial, examples are scattered throughout, but very little of this material is motivated.
We're now halfway through the book, page-wise, and we haven't seen any practical compute shaders yet. A bit curious for a book with "GPGPU" in the title.
Chapter 5 is a grab-bag of OOD, debugging, performance, and testing advice. There are a few useful tidbits here.
Chapter 6 is yet another 90-page chapter with hardly any content relevant to GPGPU. We get coverage of the geometric and algebraic properties of vectors, matrices, and rotations, and a quite thorough discussion of coordinate space conventions, but it's hard to see how any of this relates to work one might be interested in doing on the GPU that isn't directly related to 3D rendering.
Chapter 7 redeems the book somewhat. It contains a survey of GPGPU implementations of various problems in collision detection, physical system simulation, image processing, and level set extraction. These are all well-illustrated and lucidly explained.
So, now for the verdict.
I can't imagine an audience that will find this book indispensible. Chapters 2, 3, 5, and 6 could be condensed to about 20 pages total while retaining most of their value. The content of Chapter 4 is better covered in a book expressly on DX11 and HLSL, such as Varcholik's. The actual GPGPU examples are worth studying on their own, but comprise so little of the book's contents. The GPU Gems and GPU Pro series have roughly the same proportion of GPGPU content in each volume, and the techniques are generally self-contained and lavishly illustrated.
A final note: Eberly's codebase (GTEngine) is currently implemented only in DirectX, and thus is of limited utility to non-Windows users. By the time it is ported to OpenGL and GLSL, it will probably have undergone architectural shifts (as did every version of Eberly's Wild Magic / Geometric Tools codebase when he was writing his 3DGEA and 3DGED texts). Nevertheless, it does make for interesting reading.
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