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Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL

Think of it as a friendly deep-dive into Parallel Computing, GPU Programming, WebGPU, WGSL—with enough structure to skim and enough depth to grow into.

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 2026, read 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.
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TitleData Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL
ISBN9798272012067
Publication dateOctober 5, 2025
KeywordsParallel Computing, GPU Programming, WebGPU, WGSL, Data Structures, Algorithms, Graphics Rendering
Trending context2026, read, february, trailer, week, making
Best reading modeWeekend deep-dive
Ideal outcomeFaster learning
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You can apply ideas after the first session—no waiting for chapter 10.
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People who like actionable learning tend to finish this one.
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Clear structure, memorable phrasing, and practical examples that stick.
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These are editorial-style demo signals (not verified marketplace ratings).
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Long, informative, non-repeating—seeded per-book.
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Reviewer avatar
I’ve already recommended it twice. The GPU Programming chapter alone is worth the price. (Side note: if you like WebGPU Data Visualization Cookbook (2nd Edition), you’ll likely enjoy this too.)
Reviewer avatar
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.
Reviewer avatar
The week tie-ins made it feel like it was written for right now. Huge win.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The Algorithms sections feel super practical.
Reviewer avatar
I’ve already recommended it twice. The WGSL chapter alone is worth the price.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The WGSL sections feel super practical.
Reviewer avatar
A solid “read → apply today” book. Also: trailer vibes.
Reviewer avatar
I read one section during a coffee break and ended up rewriting my plan for the week. The WGSL part hit that hard.
Reviewer avatar
Fast to start. Clear chapters. Great on Data Structures.
Reviewer avatar
I’ve already recommended it twice. The WebGPU chapter alone is worth the price.
Reviewer avatar
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 GPU Programming chapters are concrete enough to test.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The Algorithms framing is chef’s kiss.
Reviewer avatar
The february tie-ins made it feel like it was written for right now. Huge win.
Reviewer avatar
Fast to start. Clear chapters. Great on WebGPU.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The WGSL framing is chef’s kiss.
Reviewer avatar
A solid “read → apply today” book. Also: making vibes. (Side note: if you like WebGPU Development Pixels: Shader Programming (Paperback), you’ll likely enjoy this too.)
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The WebGPU framing is chef’s kiss.
Reviewer avatar
It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”
Reviewer avatar
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Reviewer avatar
I’ve already recommended it twice. The Data Structures chapter alone is worth the price.
Reviewer avatar
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 Parallel Computing made me instantly calmer about getting started.
Reviewer avatar
Not perfect, but very useful. The read angle kept it grounded in current problems.
Reviewer avatar
I’ve already recommended it twice. The Graphics Rendering chapter alone is worth the price.
Reviewer avatar
I’ve already recommended it twice. The Algorithms chapter alone is worth the price.
Reviewer avatar
Not perfect, but very useful. The making angle kept it grounded in current problems.
Reviewer avatar
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.
Reviewer avatar
The february tie-ins made it feel like it was written for right now. Huge win.
Reviewer avatar
Practical, not preachy. Loved the Graphics Rendering examples.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The Parallel Computing framing is chef’s kiss.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The Data Structures framing is chef’s kiss.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The Algorithms framing is chef’s kiss.
Reviewer avatar
Practical, not preachy. Loved the GPU Programming examples.
Reviewer avatar
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. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Reviewer avatar
I’ve already recommended it twice. The Algorithms chapter alone is worth the price.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The Graphics Rendering framing is chef’s kiss.
Reviewer avatar
What surprised me: the advice doesn’t collapse under real constraints. The Algorithms sections feel field-tested.
Reviewer avatar
The february tie-ins made it feel like it was written for right now. Huge win.
Reviewer avatar
It pairs nicely with what’s trending around making—you finish a chapter and think: “okay, I can do something with this.”
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The Parallel Computing framing is chef’s kiss.
Reviewer avatar
Practical, not preachy. Loved the Parallel Computing examples.
Reviewer avatar
The week tie-ins made it feel like it was written for right now. Huge win.
Reviewer avatar
Fast to start. Clear chapters. Great on Algorithms.
Reviewer avatar
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.
Reviewer avatar
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.
Reviewer avatar
The book rewards re-reading. On pass two, the Data Structures connections become more explicit and surprisingly rigorous.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The Algorithms sections feel super practical.
Reviewer avatar
I’ve already recommended it twice. The Algorithms chapter alone is worth the price.
Reviewer avatar
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.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The Parallel Computing sections feel super practical.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The Data Structures sections feel super practical.
Reviewer avatar
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around week and momentum.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The Graphics Rendering sections feel super practical.
Reviewer avatar
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around february and momentum.
Reviewer avatar
I’ve already recommended it twice. The Graphics Rendering chapter alone is worth the price.
Reviewer avatar
Fast to start. Clear chapters. Great on Parallel Computing.
Reviewer avatar
The february tie-ins made it feel like it was written for right now. Huge win.
Reviewer avatar
It pairs nicely with what’s trending around trailer—you finish a chapter and think: “okay, I can do something with this.”
Reviewer avatar
If you care about conceptual clarity and transfer, the week tie-ins are useful prompts for further reading.
Reviewer avatar
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.
Reviewer avatar
I’ve already recommended it twice. The GPU Programming chapter alone is worth the price.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The Graphics Rendering sections feel super practical.
Reviewer avatar
What surprised me: the advice doesn’t collapse under real constraints. The Data Structures sections feel field-tested.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The GPU Programming sections feel super practical.
Reviewer avatar
I’ve already recommended it twice. The Parallel Computing chapter alone is worth the price.
Reviewer avatar
I’ve already recommended it twice. The Algorithms chapter alone is worth the price.
Reviewer avatar
The book rewards re-reading. On pass two, the Graphics Rendering connections become more explicit and surprisingly rigorous.
Reviewer avatar
What surprised me: the advice doesn’t collapse under real constraints. The Graphics Rendering sections feel field-tested.
Reviewer avatar
I’ve already recommended it twice. The WebGPU chapter alone is worth the price.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The WGSL sections feel super practical.
Reviewer avatar
I’ve already recommended it twice. The Data Structures chapter alone is worth the price.
Reviewer avatar
It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The Algorithms framing is chef’s kiss.
Reviewer avatar
Practical, not preachy. Loved the Data Structures examples.
Reviewer avatar
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. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Reviewer avatar
I’ve already recommended it twice. The Graphics Rendering chapter alone is worth the price.
Reviewer avatar
Practical, not preachy. Loved the WGSL examples.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The WGSL framing is chef’s kiss.
Reviewer avatar
Practical, not preachy. Loved the Algorithms examples.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The GPU Programming framing is chef’s kiss.
Reviewer avatar
Fast to start. Clear chapters. Great on WGSL.
Reviewer avatar
Not perfect, but very useful. The making angle kept it grounded in current problems.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The GPU Programming framing is chef’s kiss.
Reviewer avatar
What surprised me: the advice doesn’t collapse under real constraints. The GPU Programming sections feel field-tested.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The WebGPU framing is chef’s kiss.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The WebGPU sections feel super practical.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The WGSL sections feel super practical. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The Graphics Rendering framing is chef’s kiss.
Reviewer avatar
Not perfect, but very useful. The trailer angle kept it grounded in current problems.
Reviewer avatar
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.
Reviewer avatar
I’ve already recommended it twice. The GPU Programming chapter alone is worth the price.
Reviewer avatar
Fast to start. Clear chapters. Great on WebGPU.
Reviewer avatar
A friend asked what I learned and I could actually explain it—because the Graphics Rendering chapter is built for recall.
Reviewer avatar
Practical, not preachy. Loved the Data Structures examples. (Side note: if you like WebGPU Data Visualization Cookbook (2nd Edition), you’ll likely enjoy this too.)
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The Algorithms framing is chef’s kiss.
Reviewer avatar
A friend asked what I learned and I could actually explain it—because the Parallel Computing chapter is built for recall.
Reviewer avatar
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.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The WGSL framing is chef’s kiss.
Reviewer avatar
It pairs nicely with what’s trending around making—you finish a chapter and think: “okay, I can do something with this.”
Reviewer avatar
The week tie-ins made it feel like it was written for right now. Huge win.
Reviewer avatar
Fast to start. Clear chapters. Great on Graphics Rendering.
Reviewer avatar
I’ve already recommended it twice. The WebGPU chapter alone is worth the price.
Reviewer avatar
The book rewards re-reading. On pass two, the Parallel Computing connections become more explicit and surprisingly rigorous. (Side note: if you like WebGPU Data Visualization Cookbook (2nd Edition), you’ll likely enjoy this too.)
Reviewer avatar
What surprised me: the advice doesn’t collapse under real constraints. The WGSL sections feel field-tested.
Reviewer avatar
I’ve already recommended it twice. The WebGPU chapter alone is worth the price.
Reviewer avatar
Fast to start. Clear chapters. Great on WebGPU.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The WebGPU framing is chef’s kiss.
Reviewer avatar
I’ve already recommended it twice. The Algorithms chapter alone is worth the price.
Reviewer avatar
Not perfect, but very useful. The trailer angle kept it grounded in current problems.
Reviewer avatar
I’ve already recommended it twice. The Algorithms chapter alone is worth the price.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The Data Structures sections feel super practical.
Reviewer avatar
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The Graphics Rendering sections feel super practical.
Reviewer avatar
Not perfect, but very useful. The read angle kept it grounded in current problems.
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The WebGPU framing is chef’s kiss.
Reviewer avatar
A solid “read → apply today” book. Also: trailer vibes.
Reviewer avatar
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around 2026 and momentum.
Reviewer avatar
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.
Reviewer avatar
The february tie-ins made it feel like it was written for right now. Huge win.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The Graphics Rendering sections feel super practical.
Reviewer avatar
I’ve already recommended it twice. The WGSL chapter alone is worth the price.
Reviewer avatar
Fast to start. Clear chapters. Great on Parallel Computing.
Reviewer avatar
I’ve already recommended it twice. The Algorithms chapter alone is worth the price.
Reviewer avatar
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.
Reviewer avatar
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. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Reviewer avatar
Okay, wow. This is one of those books that makes you want to do things. The WebGPU framing is chef’s kiss.
Reviewer avatar
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.
Reviewer avatar
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Algorithms arguments land.
Reviewer avatar
I’ve already recommended it twice. The Algorithms chapter alone is worth the price.
Reviewer avatar
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.
Reviewer avatar
I’ve already recommended it twice. The Algorithms chapter alone is worth the price. (Side note: if you like WebGPU Data Visualization Cookbook (2nd Edition), you’ll likely enjoy this too.)
Reviewer avatar
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.
Reviewer avatar
I’ve already recommended it twice. The Parallel Computing chapter alone is worth the price.
Reviewer avatar
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 GPU Programming chapters are concrete enough to test.
Reviewer avatar
I’ve already recommended it twice. The Data Structures chapter alone is worth the price.
Reviewer avatar
It pairs nicely with what’s trending around making—you finish a chapter and think: “okay, I can do something with this.”
Reviewer avatar
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 WebGPU chapters are concrete enough to test.
Reviewer avatar
This is the rare book where I highlight a lot, but I also use the highlights. The WGSL sections feel super practical.
Reviewer avatar
The book rewards re-reading. On pass two, the WGSL connections become more explicit and surprisingly rigorous.
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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 2026, read, february, trailer.

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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