 | OpenCL Compute – Take your GPU (and CPU!) to places it has never been before |  |
• Harness heterogeneous compute power across GPUs, CPUs, FPGAs, and more
• OpenCL kernels act as precision tools for massive parallelism across thousands of work-items
• Push beyond pixels with physics, AI, image analysis, data processing, and scientific workloads
• OpenCL’s open standard gives you low-level control and cross‑vendor performance freedom
• Learn by building with examples and exercises that turn concepts into real, running kernels
• Optimize like a pro with memory models, work‑group strategies, and device‑specific tuning
• Ideal for developers ready to move from traditional programming into true parallel compute
This book is about mastering OpenCL as a high‑performance engine for real‑world workloads.
• All OpenCL compute examples are designed to be lightweight, fun, and easy to follow.
• The examples can be adapted and extended—perfect springboards for bigger projects.
Your GPU—and even your CPU—is no longer limited to graphics or general-purpose tasks. With OpenCL, you can tap into every ounce of compute power your system offers and accelerate physics simulations, AI logic, fluid solvers, encryption, data analytics, and so much more. In the past, developers had to bend graphics APIs into doing compute work, but OpenCL removes that friction entirely. Working with the GPU becomes straightforward and enjoyable—no graphics pipeline, no shader stages, no format juggling—just pure, portable compute power ready to use.
| Chapters | |
| Resources & Links | |
• DirectX Compute Book (Available on Amazon)
• Vulkan Lab (Code Examples)
• WebBook Lab (JavaScript/Canvas/HTML/Misc)
• WebGPU Lab
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