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 Curiosity Killed the Cat. This is an interest count, not a review score.

Curiosity Killed the Cat / The reading view

For the question you cannot leave alone.

If Parallel Programming keeps catching your attention, “OpenCL Compute” is a title to put on your radar. Its listed scope opens a worthwhile conversation about GPU Computing. 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. Follow the most surprising question first. Sketch an explanation, imagine an alternative, and see what you would need to distinguish them. The best part of an interesting subject is often the next question it unlocks. Save it for the next time you want to follow the idea further.

Find your reading angle →

Curiosity Killed the Cat reading lens

Follow the surprising question

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 description distinguish an explanation from an intriguing possibility?

Try this with the topic

Write an observation connected to one of the topics. List two possible explanations and the evidence that would help you tell them apart.

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