Books and field notes on explaining, visualising, and being understood.Thoughtful choices. Clear sources.
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
View on Amazon

Details are supplied by the publisher catalogue. Confirm the edition, price, and availability with the retailer before buying.

0 reader favourites

Real votes on Word Power. This is an interest count, not a review score.

Word Power / The reading view

Good ideas deserve a clearer voice.

If Software Development keeps catching your attention, “OpenCL Compute” is a title to put on your radar. Its listed scope opens a worthwhile conversation about Parallel Programming. 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. Use the topic as material for a clearer explanation. Choose a person who needs the idea, find a concrete example, and make the connection visible. The result can be a better conversation as well as a useful reading session. Save it for the next time you want to follow the idea further.

Find your reading angle →

Word Power reading lens

Make the idea clearer

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.

A question before you choose

Does the sample connect technical detail to a clear question or decision?

Try this with the topic

Choose one listed topic and explain why it matters to a reader outside the field. Use a concrete case and name the limits of your explanation.

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.

Make room for the reading

A little planning helps.

Estimate sessions from the listed page count. Technical exercises and rereading can take extra time.

39 sessions at 10 pages per session.

Keep the thread going

Related directions.

Explore another angle on the subject.

WebGL Compute — cover

GPU Computing

WebGL Compute

WebGL Compute shows how to bend WebGL beyond its original purpose, using GLSL ES shaders to unlock the GPU for general‑purpose computation. It…

393 pages2025
API Economy — cover

Computers & Technology

API Economy

Explore the business of APIs - from powering AI tools to monetizing data through high-performance visualizations.

298 pages2025