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 Parallel Programming and GPU 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. Give the reading an outcome you can revisit. Save a first attempt, return to it with a new insight, and notice which decisions you can now explain. A good reading direction becomes more valuable when it connects to practice. Save it for the next time you want to follow the idea further.

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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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