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OpenCL Compute — cover

Book cover from the publisher catalogue.

Parallel Programming

OpenCL Compute

By Kenwright

OpenCL Compute introduces developers to heterogeneous programming, showing how to write high‑performance compute kernels that run across GPUs, CPUs, and accelerators. It provides a practical foundation for mastering parallelism, memory models, and performance tuning using OpenCL.

Pages
386
Publication
12 December 2024
Language
English
ISBN
9798278959335
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There is a strong reading opportunity in the space between GPU Computing and High‑Performance Computing. “OpenCL Compute” brings those listed subjects onto the same shelf and gives your next question a place to start. The most rewarding way into an unfamiliar subject is often a concrete question. Choose an example that matters to you and give the reading a result you can explain or explore. The exciting next step is practical: choose a small outcome connected to the topic, attempt it, and use the reading to sharpen your decisions. A modest project can make an ambitious subject feel much more tangible. A promising addition to a reading list with a purpose.

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Explore Parallel Programming, GPU Computing, High‑Performance Computing with a reading approach that gives the ideas somewhere to go. The most rewarding way into an unfamiliar subject is often a concrete question. Choose an example that matters to you and give the reading a result you can explain or explore.

The listed 386 pages give a sense of extent; page count alone does not establish depth or difficulty.

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Publisher’s synopsis

OpenCL Compute is a hands‑on introduction to heterogeneous programming, teaching developers how to harness the combined power of GPUs, CPUs, and accelerators using the OpenCL framework. The book breaks down the OpenCL execution model, memory hierarchy, kernel development, and performance optimization techniques. Through minimal working examples and clear explanations, readers learn how to write portable, high‑performance compute code that scales across devices and vendors. Ideal for programmers, researchers, and students looking to unlock parallel computing without being tied to a single hardware ecosystem.

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