If you want practical clarity, this is a strong pick: OpenCL, GPU Computing, Parallel Programming, Heterogeneous Computing presented in a way that turns into decisions, not just notes.
ISBN: 9798278959335 Published: December 12, 2024 OpenCL, GPU Computing, Parallel Programming, Heterogeneous Computing, Compute Kernels, High‑Performance Computing, GPGPU, Cross‑Platform Development, C Programming, C++ Programming
What you’ll learn
Build confidence with Compute Kernels-level practice.
Spot patterns in Cross‑Platform Development faster.
Turn C Programming into repeatable habits.
Connect ideas to read, 2026 without the overwhelm.
Who it’s for
Students who need structure and memorable examples. Skimmers and deep divers both win—chapters work standalone.
How to use it
Skim the headings, then re-read only what sparks a decision. Bonus: end sessions mid-paragraph to make restarting easy.
If you care about conceptual clarity and transfer, the february tie-ins are useful prompts for further reading. (Side note: if you like Player Experience Design in 20 Minutes (Coffee Break Series), you’ll likely enjoy this too.)
Ethan Brooks • Professor
Feb 13, 2026
Not perfect, but very useful. The read angle kept it grounded in current problems.
Ava Patel • Student
Feb 9, 2026
A friend asked what I learned and I could actually explain it—because the GPGPU chapter is built for recall.
Ethan Brooks • Professor
Feb 16, 2026
Not perfect, but very useful. The trailer angle kept it grounded in current problems.
Sophia Rossi • Editor
Feb 12, 2026
If you care about conceptual clarity and transfer, the 2026 tie-ins are useful prompts for further reading.
Leo Sato • Automation
Feb 14, 2026
I’m usually wary of hype, but OpenCL Compute (Paperback) earns it. The Compute Kernels chapters are concrete enough to test.
Harper Quinn • Librarian
Feb 13, 2026
Fast to start. Clear chapters. Great on GPGPU. (Side note: if you like Player Experience Design in 20 Minutes (Coffee Break Series), you’ll likely enjoy this too.)
Iris Novak • Writer
Feb 15, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The GPU Computing part hit that hard.
Theo Grant • Security
Feb 8, 2026
What surprised me: the advice doesn’t collapse under real constraints. The High‑Performance Computing sections feel field-tested.
Iris Novak • Writer
Feb 15, 2026
If you enjoyed 101 Data Visualization and Analytics Projects (Paperback), this one scratches a similar itch—especially around 2026 and momentum.
Harper Quinn • Librarian
Feb 13, 2026
A solid “read → apply today” book. Also: excerpt vibes.
Ethan Brooks • Professor
Feb 17, 2026
Not perfect, but very useful. The excerpt angle kept it grounded in current problems.
Theo Grant • Security
Feb 10, 2026
What surprised me: the advice doesn’t collapse under real constraints. The C++ Programming sections feel field-tested.
Samira Khan • Founder
Feb 17, 2026
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Noah Kim • Indie Dev
Feb 8, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The High‑Performance Computing sections feel super practical.
Samira Khan • Founder
Feb 16, 2026
Okay, wow. This is one of those books that makes you want to do things. The Heterogeneous Computing framing is chef’s kiss.
Ava Patel • Student
Feb 8, 2026
A friend asked what I learned and I could actually explain it—because the Compute Kernels chapter is built for recall.
Benito Silva • Analyst
Feb 9, 2026
Fast to start. Clear chapters. Great on Parallel Programming.
Ava Patel • Student
Feb 11, 2026
If you enjoyed WebGL Compute (Paperback), this one scratches a similar itch—especially around time and momentum. (Side note: if you like WebGL Compute (Paperback), you’ll likely enjoy this too.)
Benito Silva • Analyst
Feb 11, 2026
Practical, not preachy. Loved the Cross‑Platform Development examples.
Maya Chen • UX Researcher
Feb 17, 2026
I’ve already recommended it twice. The Parallel Programming chapter alone is worth the price.
Benito Silva • Analyst
Feb 15, 2026
Practical, not preachy. Loved the C++ Programming examples.
Maya Chen • UX Researcher
Feb 15, 2026
The time tie-ins made it feel like it was written for right now. Huge win.
Benito Silva • Analyst
Feb 8, 2026
Fast to start. Clear chapters. Great on Compute Kernels.
Maya Chen • UX Researcher
Feb 8, 2026
Okay, wow. This is one of those books that makes you want to do things. The Heterogeneous Computing framing is chef’s kiss.
Leo Sato • Automation
Feb 16, 2026
I’m usually wary of hype, but OpenCL Compute (Paperback) earns it. The C Programming chapters are concrete enough to test.
Lina Ahmed • Product Manager
Feb 10, 2026
A friend asked what I learned and I could actually explain it—because the Parallel Programming chapter is built for recall.
Leo Sato • Automation
Feb 12, 2026
I’m usually wary of hype, but OpenCL Compute (Paperback) earns it. The OpenCL chapters are concrete enough to test.
Lina Ahmed • Product Manager
Feb 10, 2026
If you enjoyed Player Experience Design in 20 Minutes (Coffee Break Series), this one scratches a similar itch—especially around time and momentum.
Jules Nakamura • QA Lead
Feb 9, 2026
A solid “read → apply today” book. Also: trailer vibes.
Zoe Martin • Designer
Feb 15, 2026
If you care about conceptual clarity and transfer, the time tie-ins are useful prompts for further reading. (Side note: if you like 101 Data Visualization and Analytics Projects (Paperback), you’ll likely enjoy this too.)
Jules Nakamura • QA Lead
Feb 11, 2026
Practical, not preachy. Loved the C++ Programming examples.
Ethan Brooks • Professor
Feb 16, 2026
What surprised me: the advice doesn’t collapse under real constraints. The Heterogeneous Computing sections feel field-tested.
Jules Nakamura • QA Lead
Feb 8, 2026
Fast to start. Clear chapters. Great on OpenCL. (Side note: if you like 101 Data Visualization and Analytics Projects (Paperback), you’ll likely enjoy this too.)
Harper Quinn • Librarian
Feb 7, 2026
Practical, not preachy. Loved the High‑Performance Computing examples.
Iris Novak • Writer
Feb 7, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Heterogeneous Computing part hit that hard.
Harper Quinn • Librarian
Feb 7, 2026
Practical, not preachy. Loved the High‑Performance Computing examples.
Ava Patel • Student
Feb 8, 2026
A friend asked what I learned and I could actually explain it—because the OpenCL chapter is built for recall.
Ethan Brooks • Professor
Feb 11, 2026
What surprised me: the advice doesn’t collapse under real constraints. The Cross‑Platform Development sections feel field-tested.
Noah Kim • Indie Dev
Feb 16, 2026
It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”
Samira Khan • Founder
Feb 10, 2026
Okay, wow. This is one of those books that makes you want to do things. The Cross‑Platform Development framing is chef’s kiss.
Leo Sato • Automation
Feb 17, 2026
I’m usually wary of hype, but OpenCL Compute (Paperback) earns it. The Compute Kernels chapters are concrete enough to test.
Zoe Martin • Designer
Feb 13, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Cross‑Platform Development arguments land.
Noah Kim • Indie Dev
Feb 9, 2026
It pairs nicely with what’s trending around excerpt—you finish a chapter and think: “okay, I can do something with this.”
Samira Khan • Founder
Feb 11, 2026
I’ve already recommended it twice. The GPGPU chapter alone is worth the price.
Theo Grant • Security
Feb 13, 2026
What surprised me: the advice doesn’t collapse under real constraints. The GPU Computing sections feel field-tested.
Samira Khan • Founder
Feb 8, 2026
Okay, wow. This is one of those books that makes you want to do things. The GPU Computing framing is chef’s kiss.
Noah Kim • Indie Dev
Feb 8, 2026
I didn’t expect OpenCL Compute (Paperback) to be this approachable. The way it frames C Programming made me instantly calmer about getting started.
Zoe Martin • Designer
Feb 13, 2026
The book rewards re-reading. On pass two, the GPGPU connections become more explicit and surprisingly rigorous.
Jules Nakamura • QA Lead
Feb 15, 2026
Practical, not preachy. Loved the GPU Computing examples.
Sophia Rossi • Editor
Feb 17, 2026
The book rewards re-reading. On pass two, the Parallel Programming connections become more explicit and surprisingly rigorous.
Samira Khan • Founder
Feb 14, 2026
I’ve already recommended it twice. The Compute Kernels chapter alone is worth the price.
Jules Nakamura • QA Lead
Feb 13, 2026
A solid “read → apply today” book. Also: read vibes.
Lina Ahmed • Product Manager
Feb 10, 2026
If you enjoyed WebGL Compute (Paperback), this one scratches a similar itch—especially around time and momentum.
Theo Grant • Security
Feb 11, 2026
I’m usually wary of hype, but OpenCL Compute (Paperback) earns it. The GPGPU chapters are concrete enough to test.
Samira Khan • Founder
Feb 12, 2026
Okay, wow. This is one of those books that makes you want to do things. The High‑Performance Computing framing is chef’s kiss.
Leo Sato • Automation
Feb 12, 2026
I’m usually wary of hype, but OpenCL Compute (Paperback) earns it. The OpenCL chapters are concrete enough to test.
Zoe Martin • Designer
Feb 9, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Heterogeneous Computing arguments land.
Maya Chen • UX Researcher
Feb 17, 2026
Okay, wow. This is one of those books that makes you want to do things. The GPU Computing framing is chef’s kiss.
Leo Sato • Automation
Feb 10, 2026
What surprised me: the advice doesn’t collapse under real constraints. The C++ Programming sections feel field-tested.
Zoe Martin • Designer
Feb 8, 2026
The book rewards re-reading. On pass two, the C Programming connections become more explicit and surprisingly rigorous.
Leo Sato • Automation
Feb 17, 2026
Not perfect, but very useful. The excerpt angle kept it grounded in current problems.
Benito Silva • Analyst
Feb 12, 2026
Fast to start. Clear chapters. Great on C Programming.
Benito Silva • Analyst
Feb 14, 2026
Fast to start. Clear chapters. Great on Compute Kernels.
Lina Ahmed • Product Manager
Feb 11, 2026
If you enjoyed 101 Data Visualization and Analytics Projects (Paperback), this one scratches a similar itch—especially around 2026 and momentum.
Theo Grant • Security
Feb 14, 2026
I’m usually wary of hype, but OpenCL Compute (Paperback) earns it. The Parallel Programming chapters are concrete enough to test.
Benito Silva • Analyst
Feb 11, 2026
Practical, not preachy. Loved the Heterogeneous Computing examples.
Ava Patel • Student
Feb 11, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The High‑Performance Computing part hit that hard.
Ethan Brooks • Professor
Feb 11, 2026
What surprised me: the advice doesn’t collapse under real constraints. The GPU Computing sections feel field-tested.
Zoe Martin • Designer
Feb 10, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the GPU Computing arguments land.
Samira Khan • Founder
Feb 11, 2026
The february tie-ins made it feel like it was written for right now. Huge win.
Noah Kim • Indie Dev
Feb 15, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The C++ Programming sections feel super practical. (Side note: if you like WebGL Compute (Paperback), you’ll likely enjoy this too.)
Zoe Martin • Designer
Feb 8, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the C++ Programming arguments land.
Nia Walker • Teacher
Feb 13, 2026
Okay, wow. This is one of those books that makes you want to do things. The C++ Programming framing is chef’s kiss.
Lina Ahmed • Product Manager
Feb 17, 2026
If you enjoyed 101 Data Visualization and Analytics Projects (Paperback), this one scratches a similar itch—especially around time and momentum.
Leo Sato • Automation
Feb 8, 2026
Not perfect, but very useful. The read angle kept it grounded in current problems.
Zoe Martin • Designer
Feb 12, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the High‑Performance Computing arguments land.
Leo Sato • Automation
Feb 12, 2026
I’m usually wary of hype, but OpenCL Compute (Paperback) earns it. The OpenCL chapters are concrete enough to test.
Samira Khan • Founder
Feb 9, 2026
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Harper Quinn • Librarian
Feb 13, 2026
Fast to start. Clear chapters. Great on Compute Kernels.
Ava Patel • Student
Feb 9, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Cross‑Platform Development part hit that hard.
Ethan Brooks • Professor
Feb 15, 2026
What surprised me: the advice doesn’t collapse under real constraints. The High‑Performance Computing sections feel field-tested.
Zoe Martin • Designer
Feb 8, 2026
The book rewards re-reading. On pass two, the Compute Kernels connections become more explicit and surprisingly rigorous.
Maya Chen • UX Researcher
Feb 8, 2026
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Ethan Brooks • Professor
Feb 11, 2026
Not perfect, but very useful. The trailer angle kept it grounded in current problems.
Zoe Martin • Designer
Feb 12, 2026
The book rewards re-reading. On pass two, the OpenCL connections become more explicit and surprisingly rigorous. (Side note: if you like 101 Data Visualization and Analytics Projects (Paperback), you’ll likely enjoy this too.)
Nia Walker • Teacher
Feb 17, 2026
I’ve already recommended it twice. The OpenCL chapter alone is worth the price.
Ava Patel • Student
Feb 17, 2026
If you enjoyed Player Experience Design in 20 Minutes (Coffee Break Series), this one scratches a similar itch—especially around february and momentum.
Benito Silva • Analyst
Feb 8, 2026
A solid “read → apply today” book. Also: read vibes.
Sophia Rossi • Editor
Feb 17, 2026
If you care about conceptual clarity and transfer, the 2026 tie-ins are useful prompts for further reading.
Noah Kim • Indie Dev
Feb 13, 2026
I didn’t expect OpenCL Compute (Paperback) to be this approachable. The way it frames Compute Kernels made me instantly calmer about getting started. (Side note: if you like 101 Data Visualization and Analytics Projects (Paperback), you’ll likely enjoy this too.)
Zoe Martin • Designer
Feb 17, 2026
The book rewards re-reading. On pass two, the Parallel Programming connections become more explicit and surprisingly rigorous.
Theo Grant • Security
Feb 8, 2026
What surprised me: the advice doesn’t collapse under real constraints. The Heterogeneous Computing sections feel field-tested.
Maya Chen • UX Researcher
Feb 11, 2026
I’ve already recommended it twice. The GPGPU chapter alone is worth the price.
Leo Sato • Automation
Feb 11, 2026
Not perfect, but very useful. The excerpt angle kept it grounded in current problems.
Samira Khan • Founder
Feb 8, 2026
Okay, wow. This is one of those books that makes you want to do things. The C++ Programming framing is chef’s kiss.
Harper Quinn • Librarian
Feb 14, 2026
A solid “read → apply today” book. Also: excerpt vibes.
Ava Patel • Student
Feb 10, 2026
If you enjoyed 101 Data Visualization and Analytics Projects (Paperback), this one scratches a similar itch—especially around february and momentum.
Lina Ahmed • Product Manager
Feb 13, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Cross‑Platform Development part hit that hard.
Ava Patel • Student
Feb 13, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The High‑Performance Computing part hit that hard.
Nia Walker • Teacher
Feb 15, 2026
I’ve already recommended it twice. The C Programming chapter alone is worth the price.
Harper Quinn • Librarian
Feb 10, 2026
Fast to start. Clear chapters. Great on OpenCL.
Ava Patel • Student
Feb 7, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The C++ Programming part hit that hard.
Omar Reyes • Data Engineer
Feb 14, 2026
It pairs nicely with what’s trending around trailer—you finish a chapter and think: “okay, I can do something with this.”
Jules Nakamura • QA Lead
Feb 9, 2026
Practical, not preachy. Loved the Cross‑Platform Development examples.
Ethan Brooks • Professor
Feb 9, 2026
Not perfect, but very useful. The excerpt angle kept it grounded in current problems.
Lina Ahmed • Product Manager
Feb 11, 2026
A friend asked what I learned and I could actually explain it—because the GPGPU chapter is built for recall.
Noah Kim • Indie Dev
Feb 13, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Heterogeneous Computing sections feel super practical.
Benito Silva • Analyst
Feb 16, 2026
Practical, not preachy. Loved the Heterogeneous Computing examples.
Sophia Rossi • Editor
Feb 11, 2026
If you care about conceptual clarity and transfer, the february tie-ins are useful prompts for further reading.
Noah Kim • Indie Dev
Feb 11, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Cross‑Platform Development sections feel super practical.
Samira Khan • Founder
Feb 9, 2026
I’ve already recommended it twice. The OpenCL chapter alone is worth the price.
Omar Reyes • Data Engineer
Feb 10, 2026
I didn’t expect OpenCL Compute (Paperback) to be this approachable. The way it frames Parallel Programming made me instantly calmer about getting started.
Nia Walker • Teacher
Feb 8, 2026
Okay, wow. This is one of those books that makes you want to do things. The Cross‑Platform Development framing is chef’s kiss.
Ethan Brooks • Professor
Feb 15, 2026
I’m usually wary of hype, but OpenCL Compute (Paperback) earns it. The GPGPU chapters are concrete enough to test.
Zoe Martin • Designer
Feb 9, 2026
If you care about conceptual clarity and transfer, the 2026 tie-ins are useful prompts for further reading. (Side note: if you like WebGL Compute (Paperback), you’ll likely enjoy this too.)
Theo Grant • Security
Feb 10, 2026
I’m usually wary of hype, but OpenCL Compute (Paperback) earns it. The Parallel Programming chapters are concrete enough to test.
Nia Walker • Teacher
Feb 16, 2026
The february tie-ins made it feel like it was written for right now. Huge win.
Ethan Brooks • Professor
Feb 14, 2026
Not perfect, but very useful. The read angle kept it grounded in current problems.
Zoe Martin • Designer
Feb 7, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the High‑Performance Computing arguments land.
Harper Quinn • Librarian
Feb 15, 2026
A solid “read → apply today” book. Also: excerpt vibes.
Maya Chen • UX Researcher
Feb 17, 2026
I’ve already recommended it twice. The OpenCL chapter alone is worth the price.
Leo Sato • Automation
Feb 16, 2026
I’m usually wary of hype, but OpenCL Compute (Paperback) earns it. The Parallel Programming chapters are concrete enough to test.
Samira Khan • Founder
Feb 8, 2026
The february tie-ins made it feel like it was written for right now. Huge win.
Omar Reyes • Data Engineer
Feb 11, 2026
I didn’t expect OpenCL Compute (Paperback) to be this approachable. The way it frames OpenCL made me instantly calmer about getting started. (Side note: if you like WebGL Compute (Paperback), you’ll likely enjoy this too.)
Nia Walker • Teacher
Feb 10, 2026
The february tie-ins made it feel like it was written for right now. Huge win.
Samira Khan • Founder
Feb 11, 2026
Okay, wow. This is one of those books that makes you want to do things. The High‑Performance Computing framing is chef’s kiss.
Harper Quinn • Librarian
Feb 10, 2026
Practical, not preachy. Loved the GPU Computing examples.
Ava Patel • Student
Feb 10, 2026
A friend asked what I learned and I could actually explain it—because the C Programming chapter is built for recall.
Ethan Brooks • Professor
Feb 12, 2026
What surprised me: the advice doesn’t collapse under real constraints. The High‑Performance Computing sections feel field-tested.
Lina Ahmed • Product Manager
Feb 14, 2026
If you enjoyed WebGL Compute (Paperback), this one scratches a similar itch—especially around 2026 and momentum.
Demo thread: varied voice, nested replies, topic-matching language. Replace with real community posts if you collect them.
faq
Quick answers
Yes—use the Key Takeaways first, then read chapters in the order your curiosity pulls you.
Themes include OpenCL, GPU Computing, Parallel Programming, Heterogeneous Computing, Compute Kernels, plus context from read, 2026, excerpt, time.
Use the Buy/View link near the cover. We also link to Goodreads search and the original source page.
Try 12 minutes reading + 3 minutes notes. Apply one idea the same day to lock it in.
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