OpenCL Compute
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OpenCL Compute

3.5.0
101 reviews
Parallel Programming GPU Computing High‑Performance Computing Programming Software Development

Quick Facts

  • Author: Kenwright
  • Publication Date: December 12, 2024
  • Pages: 386 pages
  • Language: English
  • ISBN: 9798278959335

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.

Our Review

OpenCL Compute by Kenwright is a unleash GPU and CPU power with OpenCL. that delivers on its promise to learn how to write OpenCL kernels for GPUs and CPUs. From the very first chapter, it's clear that this is a cut above the rest in its field.

The book excels in its comprehensive and engaging approach to parallel programming. The author includes understand memory models, buffers, and command queues. and gain practical experience with parallel programming techniques. that make complex topics accessible to readers of all levels. Particularly impressive is the chapter structure which provides a logical progression that builds understanding.

Readers will appreciate the practical applications throughout. Write portable, high‑performance compute code. that build portable compute applications that scale across hardware. that will enhance your understanding and skills. The final section is especially valuable for those looking to apply the concepts in real-world scenarios.

In conclusion, OpenCL Compute is an outstanding contribution to its field. The combination of 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. makes it one of the most valuable resources we've encountered. We give it our highest recommendation.

Why You'll Love It

  • 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.

Book Statistics

Reading Level: Advanced

Average Read Time: 9 hours 39 minutes

Reviews: 86%

Recommendation Rate: 94%

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