Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL
If you want practical clarity, this is a strong pick: Parallel Computing, GPU Programming, WebGPU, WGSL presented in a way that turns into decisions, not just notes.
ISBN: 9798272012067 Published: October 5, 2025 Parallel Computing, GPU Programming, WebGPU, WGSL, Data Structures, Algorithms, Graphics Rendering
What you’ll learn
Spot patterns in Graphics Rendering faster.
Build confidence with WGSL-level practice.
Connect ideas to life, live without the overwhelm.
Turn Algorithms into repeatable habits.
Who it’s for
Experienced readers who want sharper frameworks. Comfortable for mixed ages and attention spans.
How to use it
Read one section, write one note, apply one idea the same day. Bonus: keep a “next action” list on the inside cover.
I read one section during a coffee break and ended up rewriting my plan for the week. The Parallel Computing part hit that hard. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Sophia Rossi • Editor
Feb 23, 2026
Practical, not preachy. Loved the Algorithms examples.
Iris Novak • Writer
Feb 24, 2026
What surprised me: the advice doesn’t collapse under real constraints. The Parallel Computing sections feel field-tested.
Sophia Rossi • Editor
Feb 22, 2026
Fast to start. Clear chapters. Great on Parallel Computing.
Benito Silva • Analyst
Feb 27, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Algorithms part hit that hard.
Ava Patel • Student
Feb 26, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Data Structures sections feel super practical.
Ethan Brooks • Professor
Feb 26, 2026
The third tie-ins made it feel like it was written for right now. Huge win.
Ava Patel • Student
Feb 22, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The GPU Programming sections feel super practical.
Ethan Brooks • Professor
Feb 27, 2026
The poem tie-ins made it feel like it was written for right now. Huge win.
Sophia Rossi • Editor
Feb 23, 2026
Practical, not preachy. Loved the WGSL examples.
Iris Novak • Writer
Feb 18, 2026
What surprised me: the advice doesn’t collapse under real constraints. The WGSL sections feel field-tested. (Side note: if you like 101 WebGPU and WGSL Programming Projects (Paperback), you’ll likely enjoy this too.)
Theo Grant • Security
Feb 18, 2026
If you care about conceptual clarity and transfer, the third tie-ins are useful prompts for further reading.
Ethan Brooks • Professor
Feb 18, 2026
Okay, wow. This is one of those books that makes you want to do things. The Graphics Rendering framing is chef’s kiss.
Theo Grant • Security
Feb 18, 2026
If you care about conceptual clarity and transfer, the life tie-ins are useful prompts for further reading.
Samira Khan • Founder
Feb 26, 2026
Fast to start. Clear chapters. Great on Algorithms.
Ava Patel • Student
Feb 18, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Graphics Rendering sections feel super practical.
Benito Silva • Analyst
Feb 23, 2026
A friend asked what I learned and I could actually explain it—because the WebGPU chapter is built for recall.
Ava Patel • Student
Feb 23, 2026
I didn’t expect Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL to be this approachable. The way it frames WGSL made me instantly calmer about getting started.
Benito Silva • Analyst
Feb 26, 2026
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around life and momentum.
Maya Chen • UX Researcher
Feb 24, 2026
Fast to start. Clear chapters. Great on Graphics Rendering.
Benito Silva • Analyst
Feb 18, 2026
A friend asked what I learned and I could actually explain it—because the Data Structures chapter is built for recall.
Noah Kim • Indie Dev
Feb 23, 2026
The book rewards re-reading. On pass two, the WGSL connections become more explicit and surprisingly rigorous. (Side note: if you like 101 WebGPU and WGSL Programming Projects (Paperback), you’ll likely enjoy this too.)
Lina Ahmed • Product Manager
Feb 22, 2026
Practical, not preachy. Loved the GPU Programming examples.
Leo Sato • Automation
Feb 19, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Algorithms part hit that hard.
Samira Khan • Founder
Feb 21, 2026
Fast to start. Clear chapters. Great on GPU Programming.
Ava Patel • Student
Feb 21, 2026
I didn’t expect Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL to be this approachable. The way it frames GPU Programming made me instantly calmer about getting started.
Samira Khan • Founder
Feb 26, 2026
A solid “read → apply today” book. Also: oliver vibes. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Noah Kim • Indie Dev
Feb 21, 2026
The book rewards re-reading. On pass two, the GPU Programming connections become more explicit and surprisingly rigorous.
Zoe Martin • Designer
Feb 22, 2026
I’m usually wary of hype, but Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL earns it. The Data Structures chapters are concrete enough to test.
Noah Kim • Indie Dev
Feb 21, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the GPU Programming arguments land.
Samira Khan • Founder
Feb 25, 2026
Practical, not preachy. Loved the Parallel Computing examples.
Noah Kim • Indie Dev
Feb 20, 2026
The book rewards re-reading. On pass two, the Graphics Rendering connections become more explicit and surprisingly rigorous.
Benito Silva • Analyst
Feb 25, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The WebGPU part hit that hard.
Maya Chen • UX Researcher
Feb 20, 2026
A solid “read → apply today” book. Also: infinite vibes.
Omar Reyes • Data Engineer
Feb 27, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Data Structures part hit that hard.
Maya Chen • UX Researcher
Feb 22, 2026
A solid “read → apply today” book. Also: live vibes.
Benito Silva • Analyst
Feb 19, 2026
If you enjoyed 101 WebGPU and WGSL Programming Projects (Paperback), this one scratches a similar itch—especially around life and momentum.
Iris Novak • Writer
Feb 25, 2026
I’m usually wary of hype, but Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL earns it. The Algorithms chapters are concrete enough to test.
Harper Quinn • Librarian
Feb 24, 2026
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around third and momentum.
Iris Novak • Writer
Feb 23, 2026
Not perfect, but very useful. The oliver angle kept it grounded in current problems.
Harper Quinn • Librarian
Feb 21, 2026
A friend asked what I learned and I could actually explain it—because the WGSL chapter is built for recall. (Side note: if you like 101 WebGPU and WGSL Programming Projects (Paperback), you’ll likely enjoy this too.)
Samira Khan • Founder
Feb 22, 2026
A solid “read → apply today” book. Also: oliver vibes.
Lina Ahmed • Product Manager
Feb 23, 2026
Practical, not preachy. Loved the Parallel Computing examples.
Ava Patel • Student
Feb 23, 2026
It pairs nicely with what’s trending around oliver—you finish a chapter and think: “okay, I can do something with this.”
Benito Silva • Analyst
Feb 23, 2026
A friend asked what I learned and I could actually explain it—because the Parallel Computing chapter is built for recall.
Ava Patel • Student
Feb 26, 2026
It pairs nicely with what’s trending around live—you finish a chapter and think: “okay, I can do something with this.”
Sophia Rossi • Editor
Feb 22, 2026
Practical, not preachy. Loved the Data Structures examples.
Ethan Brooks • Professor
Feb 22, 2026
Okay, wow. This is one of those books that makes you want to do things. The Algorithms framing is chef’s kiss.
Sophia Rossi • Editor
Feb 27, 2026
Practical, not preachy. Loved the WebGPU examples.
Ethan Brooks • Professor
Feb 24, 2026
The life tie-ins made it feel like it was written for right now. Huge win.
Ava Patel • Student
Feb 26, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Data Structures sections feel super practical.
Jules Nakamura • QA Lead
Feb 18, 2026
If you enjoyed 101 WebGPU and WGSL Programming Projects (Paperback), this one scratches a similar itch—especially around poem and momentum.
Zoe Martin • Designer
Feb 20, 2026
I’m usually wary of hype, but Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL earns it. The Parallel Computing chapters are concrete enough to test.
Noah Kim • Indie Dev
Feb 19, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Graphics Rendering arguments land.
Benito Silva • Analyst
Feb 19, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Graphics Rendering part hit that hard.
Noah Kim • Indie Dev
Feb 24, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Data Structures arguments land.
Zoe Martin • Designer
Feb 27, 2026
What surprised me: the advice doesn’t collapse under real constraints. The Data Structures sections feel field-tested.
Maya Chen • UX Researcher
Feb 27, 2026
Practical, not preachy. Loved the GPU Programming examples.
Ethan Brooks • Professor
Feb 21, 2026
I’ve already recommended it twice. The WGSL chapter alone is worth the price.
Sophia Rossi • Editor
Feb 24, 2026
Practical, not preachy. Loved the Data Structures examples.
Jules Nakamura • QA Lead
Feb 19, 2026
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around poem and momentum.
Zoe Martin • Designer
Feb 20, 2026
What surprised me: the advice doesn’t collapse under real constraints. The WGSL sections feel field-tested.
Harper Quinn • Librarian
Feb 22, 2026
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around poem and momentum.
Ava Patel • Student
Feb 22, 2026
It pairs nicely with what’s trending around infinite—you finish a chapter and think: “okay, I can do something with this.”
Benito Silva • Analyst
Feb 22, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The WGSL part hit that hard.
Ava Patel • Student
Feb 22, 2026
I didn’t expect Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL to be this approachable. The way it frames Data Structures made me instantly calmer about getting started.
Ethan Brooks • Professor
Feb 19, 2026
Okay, wow. This is one of those books that makes you want to do things. The Data Structures framing is chef’s kiss.
Nia Walker • Teacher
Feb 25, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Graphics Rendering sections feel super practical.
Benito Silva • Analyst
Feb 19, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Graphics Rendering part hit that hard.
Sophia Rossi • Editor
Feb 25, 2026
A solid “read → apply today” book. Also: live vibes.
Noah Kim • Indie Dev
Feb 24, 2026
The book rewards re-reading. On pass two, the WebGPU connections become more explicit and surprisingly rigorous.
Samira Khan • Founder
Feb 25, 2026
Fast to start. Clear chapters. Great on Algorithms.
Omar Reyes • Data Engineer
Feb 26, 2026
If you enjoyed 101 WebGPU and WGSL Programming Projects (Paperback), this one scratches a similar itch—especially around third and momentum.
Benito Silva • Analyst
Feb 26, 2026
A friend asked what I learned and I could actually explain it—because the GPU Programming chapter is built for recall.
Ava Patel • Student
Feb 23, 2026
I didn’t expect Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL to be this approachable. The way it frames Graphics Rendering made me instantly calmer about getting started.
Ethan Brooks • Professor
Feb 22, 2026
Okay, wow. This is one of those books that makes you want to do things. The WebGPU framing is chef’s kiss.
Sophia Rossi • Editor
Feb 23, 2026
A solid “read → apply today” book. Also: infinite vibes.
Maya Chen • UX Researcher
Feb 21, 2026
Fast to start. Clear chapters. Great on WGSL.
Zoe Martin • Designer
Feb 25, 2026
I’m usually wary of hype, but Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL earns it. The WGSL chapters are concrete enough to test. (Side note: if you like WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), you’ll likely enjoy this too.)
Jules Nakamura • QA Lead
Feb 27, 2026
If you enjoyed WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), this one scratches a similar itch—especially around third and momentum.
Lina Ahmed • Product Manager
Feb 25, 2026
A solid “read → apply today” book. Also: live vibes.
Theo Grant • Security
Feb 21, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Algorithms arguments land.
Lina Ahmed • Product Manager
Feb 22, 2026
Practical, not preachy. Loved the Parallel Computing examples.
Ava Patel • Student
Feb 18, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Parallel Computing sections feel super practical. (Side note: if you like 101 WebGPU and WGSL Programming Projects (Paperback), you’ll likely enjoy this too.)
Lina Ahmed • Product Manager
Feb 27, 2026
Fast to start. Clear chapters. Great on Parallel Computing.
Ava Patel • Student
Feb 21, 2026
I didn’t expect Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL to be this approachable. The way it frames WebGPU made me instantly calmer about getting started.
Benito Silva • Analyst
Feb 22, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The WebGPU part hit that hard.
Sophia Rossi • Editor
Feb 18, 2026
A solid “read → apply today” book. Also: infinite vibes.
Noah Kim • Indie Dev
Feb 20, 2026
The book rewards re-reading. On pass two, the Data Structures connections become more explicit and surprisingly rigorous. (Side note: if you like 101 WebGPU and WGSL Programming Projects (Paperback), you’ll likely enjoy this too.)
Zoe Martin • Designer
Feb 27, 2026
Not perfect, but very useful. The infinite angle kept it grounded in current problems.
Nia Walker • Teacher
Feb 25, 2026
I didn’t expect Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL to be this approachable. The way it frames Algorithms made me instantly calmer about getting started.
Harper Quinn • Librarian
Feb 23, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Graphics Rendering part hit that hard.
Ava Patel • Student
Feb 21, 2026
It pairs nicely with what’s trending around oliver—you finish a chapter and think: “okay, I can do something with this.”
Jules Nakamura • QA Lead
Feb 24, 2026
If you enjoyed 101 WebGPU and WGSL Programming Projects (Paperback), this one scratches a similar itch—especially around poem and momentum.
Samira Khan • Founder
Feb 22, 2026
Fast to start. Clear chapters. Great on Algorithms.
Omar Reyes • Data Engineer
Feb 26, 2026
A friend asked what I learned and I could actually explain it—because the Graphics Rendering chapter is built for recall.
Ethan Brooks • Professor
Feb 20, 2026
Okay, wow. This is one of those books that makes you want to do things. The Parallel Computing framing is chef’s kiss.
Ava Patel • Student
Feb 21, 2026
I didn’t expect Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL to be this approachable. The way it frames Algorithms made me instantly calmer about getting started.
Jules Nakamura • QA Lead
Feb 25, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Parallel Computing part hit that hard.
Iris Novak • Writer
Feb 18, 2026
What surprised me: the advice doesn’t collapse under real constraints. The Graphics Rendering sections feel field-tested.
Ava Patel • Student
Feb 26, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The WGSL sections feel super practical.
Ethan Brooks • Professor
Feb 25, 2026
I’ve already recommended it twice. The Algorithms chapter alone is worth the price. (Side note: if you like WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), you’ll likely enjoy this too.)
Noah Kim • Indie Dev
Feb 21, 2026
If you care about conceptual clarity and transfer, the poem tie-ins are useful prompts for further reading.
Benito Silva • Analyst
Feb 21, 2026
A friend asked what I learned and I could actually explain it—because the Algorithms chapter is built for recall.
Noah Kim • Indie Dev
Feb 21, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Graphics Rendering arguments land.
Iris Novak • Writer
Feb 24, 2026
I’m usually wary of hype, but Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL earns it. The Graphics Rendering chapters are concrete enough to test.
Harper Quinn • Librarian
Feb 25, 2026
A friend asked what I learned and I could actually explain it—because the Data Structures chapter is built for recall.
Maya Chen • UX Researcher
Feb 26, 2026
Fast to start. Clear chapters. Great on Parallel Computing.
Leo Sato • Automation
Feb 20, 2026
A friend asked what I learned and I could actually explain it—because the Parallel Computing chapter is built for recall.
Zoe Martin • Designer
Feb 25, 2026
What surprised me: the advice doesn’t collapse under real constraints. The Algorithms sections feel field-tested.
Maya Chen • UX Researcher
Feb 20, 2026
Fast to start. Clear chapters. Great on WebGPU.
Harper Quinn • Librarian
Feb 18, 2026
If you enjoyed WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), this one scratches a similar itch—especially around life and momentum.
Leo Sato • Automation
Feb 24, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Parallel Computing part hit that hard.
Samira Khan • Founder
Feb 19, 2026
Practical, not preachy. Loved the WGSL examples.
Omar Reyes • Data Engineer
Feb 20, 2026
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around third and momentum.
Theo Grant • Security
Feb 19, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Algorithms arguments land.
Nia Walker • Teacher
Feb 23, 2026
It pairs nicely with what’s trending around live—you finish a chapter and think: “okay, I can do something with this.”
Ethan Brooks • Professor
Feb 20, 2026
I’ve already recommended it twice. The WebGPU chapter alone is worth the price.
Sophia Rossi • Editor
Feb 21, 2026
Fast to start. Clear chapters. Great on Data Structures.
Ethan Brooks • Professor
Feb 23, 2026
I’ve already recommended it twice. The Graphics Rendering chapter alone is worth the price. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Ava Patel • Student
Feb 20, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The WebGPU sections feel super practical.
Benito Silva • Analyst
Feb 22, 2026
If you enjoyed 101 WebGPU and WGSL Programming Projects (Paperback), this one scratches a similar itch—especially around third and momentum.
Sophia Rossi • Editor
Feb 27, 2026
Practical, not preachy. Loved the Parallel Computing examples.
Noah Kim • Indie Dev
Feb 19, 2026
The book rewards re-reading. On pass two, the GPU Programming connections become more explicit and surprisingly rigorous.
Nia Walker • Teacher
Feb 24, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The GPU Programming sections feel super practical.
Samira Khan • Founder
Feb 23, 2026
Practical, not preachy. Loved the GPU Programming examples. (Side note: if you like 101 WebGPU and WGSL Programming Projects (Paperback), you’ll likely enjoy this too.)
Harper Quinn • Librarian
Feb 19, 2026
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around third and momentum.
Maya Chen • UX Researcher
Feb 25, 2026
Practical, not preachy. Loved the WGSL examples.
Leo Sato • Automation
Feb 23, 2026
If you enjoyed WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), this one scratches a similar itch—especially around poem and momentum.
Jules Nakamura • QA Lead
Feb 27, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The GPU Programming part hit that hard.
Sophia Rossi • Editor
Feb 26, 2026
A solid “read → apply today” book. Also: infinite vibes.
Noah Kim • Indie Dev
Feb 23, 2026
The book rewards re-reading. On pass two, the Algorithms connections become more explicit and surprisingly rigorous.
Benito Silva • Analyst
Feb 19, 2026
A friend asked what I learned and I could actually explain it—because the Algorithms chapter is built for recall.
Harper Quinn • Librarian
Feb 19, 2026
A friend asked what I learned and I could actually explain it—because the Data Structures chapter is built for recall.
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faq
Quick answers
Try 12 minutes reading + 3 minutes notes. Apply one idea the same day to lock it in.
Themes include Parallel Computing, GPU Programming, WebGPU, WGSL, Data Structures, plus context from life, live, poem, oliver.
Use the Buy/View link near the cover. We also link to Goodreads search and the original source page.
Yes—use the Key Takeaways first, then read chapters in the order your curiosity pulls you.
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