FROM THE BOOK CATALOGUEParallel Programming
OpenCL Compute (Paperback)
A practical guide to mastering OpenCL for cross‑platform GPU and CPU compute programming.
WHAT THE PUBLISHER HIGHLIGHTS
- Learn how to write OpenCL kernels for GPUs and CPUs.
- Understand memory models, buffers, and command queues.
- Gain practical experience with parallel programming techniques.
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Catalogue reference: e39c90e6c7ec11d6
INSIDE THE BOOK
About this book
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.
From the publisher’s description
- Learn how to write OpenCL kernels for GPUs and CPUs.
- Understand memory models, buffers, and command queues.
- Gain practical experience with parallel programming techniques.
- Build portable compute applications that scale across hardware.
