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Cover of OpenCL Compute (Paperback) FROM THE BOOK CATALOGUE

Parallel Programming

OpenCL Compute (Paperback)

By Kenwright

A practical guide to mastering OpenCL for cross‑platform GPU and CPU compute programming.

Parallel ProgrammingGPU ComputingHigh‑Performance ComputingProgrammingSoftware Development

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.

Explore the topics

OpenCLGPU ComputingParallel ProgrammingHeterogeneous ComputingCompute KernelsHigh‑Performance ComputingGPGPUCross‑Platform DevelopmentC ProgrammingC++ Programming

ANOTHER PERSPECTIVE

Readers, in their own words

Explore reviews
Reader review5

Excellent from start to finish

A superb guide. The examples are small but complete.

I have been working with parallel programming for a few years now and I still found plenty here that was new to me. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. The chapters on parallel programming are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. I have already recommended it to two colleagues and will recommend it to more.

Imogen RiveraSelf-taught developer · Bristol, UK
OpenCL Compute
Reader review5

Better than I expected

This is the one to get if you are serious about parallel programming.

I had been on the fence about this one for a while, and I should have bought it sooner. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The writing is direct and does not waste space on filler, which I value in a technical book. There is a section near the end that ties several earlier ideas together in a way I had not seen before. An easy five stars from me. I look forward to whatever the author writes next.

Ewan MurphyMachine learning engineer · Buenos Aires, AR
OpenCL Compute

BEYOND THE BOOKSHELF

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