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 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.
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Parallel Computing arguments land.
Leo Sato • Automation
Feb 1, 2026
Practical, not preachy. Loved the GPU Programming examples.
Sophia Rossi • Editor
Jan 30, 2026
The book rewards re-reading. On pass two, the Graphics Rendering connections become more explicit and surprisingly rigorous.
Leo Sato • Automation
Jan 30, 2026
A solid “read → apply today” book. Also: 2026 vibes.
Lina Ahmed • Product Manager
Feb 4, 2026
If you care about conceptual clarity and transfer, the making tie-ins are useful prompts for further reading.
Nia Walker • Teacher
Feb 2, 2026
Okay, wow. This is one of those books that makes you want to do things. The Data Structures framing is chef’s kiss.
Harper Quinn • Librarian
Feb 2, 2026
A solid “read → apply today” book. Also: week vibes.
Nia Walker • Teacher
Feb 2, 2026
Okay, wow. This is one of those books that makes you want to do things. The GPU Programming framing is chef’s kiss.
Omar Reyes • Data Engineer
Feb 5, 2026
It pairs nicely with what’s trending around week—you finish a chapter and think: “okay, I can do something with this.”
Maya Chen • UX Researcher
Jan 31, 2026
I’ve already recommended it twice. The WGSL chapter alone is worth the price.
Harper Quinn • Librarian
Feb 5, 2026
Practical, not preachy. Loved the Graphics Rendering examples.
Iris Novak • Writer
Jan 29, 2026
The trailer tie-ins made it feel like it was written for right now. Huge win.
Ava Patel • Student
Feb 6, 2026
The book rewards re-reading. On pass two, the Data Structures connections become more explicit and surprisingly rigorous.
Samira Khan • Founder
Feb 7, 2026
The making tie-ins made it feel like it was written for right now. Huge win.
Noah Kim • Indie Dev
Jan 31, 2026
Fast to start. Clear chapters. Great on GPU Programming.
Benito Silva • Analyst
Feb 5, 2026
Fast to start. Clear chapters. Great on GPU Programming.
Harper Quinn • Librarian
Feb 6, 2026
Fast to start. Clear chapters. Great on Data Structures.
Iris Novak • Writer
Jan 31, 2026
I’ve already recommended it twice. The Data Structures chapter alone is worth the price.
Harper Quinn • Librarian
Jan 31, 2026
Practical, not preachy. Loved the WebGPU examples.
Nia Walker • Teacher
Feb 3, 2026
Okay, wow. This is one of those books that makes you want to do things. The Graphics Rendering framing is chef’s kiss.
Harper Quinn • Librarian
Feb 6, 2026
Practical, not preachy. Loved the Algorithms examples.
Iris Novak • Writer
Feb 6, 2026
I’ve already recommended it twice. The Algorithms chapter alone is worth the price.
Theo Grant • Security
Feb 4, 2026
A solid “read → apply today” book. Also: february vibes.
Samira Khan • Founder
Feb 4, 2026
I’ve already recommended it twice. The Parallel Computing chapter alone is worth the price.
Ava Patel • Student
Feb 7, 2026
If you care about conceptual clarity and transfer, the trailer tie-ins are useful prompts for further reading.
Ethan Brooks • Professor
Feb 4, 2026
It pairs nicely with what’s trending around february—you finish a chapter and think: “okay, I can do something with this.”
Ava Patel • Student
Feb 2, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the WebGPU arguments land.
Ethan Brooks • Professor
Feb 1, 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.
Ava Patel • Student
Jan 30, 2026
If you care about conceptual clarity and transfer, the read tie-ins are useful prompts for further reading.
Lina Ahmed • Product Manager
Feb 6, 2026
The book rewards re-reading. On pass two, the Algorithms connections become more explicit and surprisingly rigorous.
Iris Novak • Writer
Jan 29, 2026
The read tie-ins made it feel like it was written for right now. Huge win.
Sophia Rossi • Editor
Jan 29, 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 2, 2026
Fast to start. Clear chapters. Great on Parallel Computing.
Ava Patel • Student
Feb 6, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the GPU Programming arguments land.
Omar Reyes • Data Engineer
Feb 5, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The WebGPU sections feel super practical.
Iris Novak • Writer
Feb 2, 2026
I’ve already recommended it twice. The Data Structures chapter alone is worth the price.
Zoe Martin • Designer
Feb 6, 2026
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around making and momentum.
Maya Chen • UX Researcher
Feb 4, 2026
Okay, wow. This is one of those books that makes you want to do things. The Parallel Computing framing is chef’s kiss.
Lina Ahmed • Product Manager
Feb 5, 2026
The book rewards re-reading. On pass two, the GPU Programming connections become more explicit and surprisingly rigorous.
Leo Sato • Automation
Jan 31, 2026
Practical, not preachy. Loved the Data Structures examples.
Sophia Rossi • Editor
Feb 3, 2026
The book rewards re-reading. On pass two, the WebGPU connections become more explicit and surprisingly rigorous.
Leo Sato • Automation
Feb 7, 2026
Fast to start. Clear chapters. Great on Algorithms.
Sophia Rossi • Editor
Jan 30, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the WGSL arguments land.
Ethan Brooks • Professor
Feb 4, 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.
Sophia Rossi • Editor
Jan 30, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the GPU Programming arguments land.
Noah Kim • Indie Dev
Feb 4, 2026
A solid “read → apply today” book. Also: week vibes. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Iris Novak • Writer
Jan 29, 2026
Okay, wow. This is one of those books that makes you want to do things. The Data Structures framing is chef’s kiss.
Zoe Martin • Designer
Feb 5, 2026
A friend asked what I learned and I could actually explain it—because the Algorithms chapter is built for recall.
Jules Nakamura • QA Lead
Feb 1, 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.
Lina Ahmed • Product Manager
Feb 5, 2026
The book rewards re-reading. On pass two, the Graphics Rendering connections become more explicit and surprisingly rigorous.
Theo Grant • Security
Feb 7, 2026
A solid “read → apply today” book. Also: 2026 vibes.
Jules Nakamura • QA Lead
Feb 6, 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.
Lina Ahmed • Product Manager
Feb 1, 2026
The book rewards re-reading. On pass two, the Parallel Computing connections become more explicit and surprisingly rigorous.
Leo Sato • Automation
Jan 31, 2026
Fast to start. Clear chapters. Great on GPU Programming.
Samira Khan • Founder
Feb 6, 2026
I’ve already recommended it twice. The Graphics Rendering chapter alone is worth the price.
Samira Khan • Founder
Feb 2, 2026
Okay, wow. This is one of those books that makes you want to do things. The WGSL framing is chef’s kiss.
Noah Kim • Indie Dev
Feb 3, 2026
Practical, not preachy. Loved the Parallel Computing examples.
Benito Silva • Analyst
Feb 5, 2026
Fast to start. Clear chapters. Great on WebGPU.
Leo Sato • Automation
Feb 2, 2026
A solid “read → apply today” book. Also: february vibes.
Zoe Martin • Designer
Feb 2, 2026
A friend asked what I learned and I could actually explain it—because the WebGPU chapter is built for recall.
Noah Kim • Indie Dev
Feb 7, 2026
Fast to start. Clear chapters. Great on Data Structures.
Nia Walker • Teacher
Feb 1, 2026
The read tie-ins made it feel like it was written for right now. Huge win.
Ethan Brooks • Professor
Jan 30, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The WGSL sections feel super practical.
Theo Grant • Security
Feb 1, 2026
Fast to start. Clear chapters. Great on Graphics Rendering.
Zoe Martin • Designer
Jan 31, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Algorithms part hit that hard.
Noah Kim • Indie Dev
Jan 30, 2026
Fast to start. Clear chapters. Great on Graphics Rendering.
Leo Sato • Automation
Feb 5, 2026
Practical, not preachy. Loved the Graphics Rendering examples.
Zoe Martin • Designer
Jan 30, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The WGSL part hit that hard.
Jules Nakamura • QA Lead
Jan 31, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Data Structures sections feel super practical.
Harper Quinn • Librarian
Feb 1, 2026
Fast to start. Clear chapters. Great on Graphics Rendering.
Ava Patel • Student
Feb 4, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the WGSL arguments land.
Jules Nakamura • QA Lead
Feb 6, 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.
Zoe Martin • Designer
Jan 31, 2026
If you enjoyed WebGPU Data Visualization Cookbook (2nd Edition), this one scratches a similar itch—especially around read and momentum.
Maya Chen • UX Researcher
Jan 29, 2026
Okay, wow. This is one of those books that makes you want to do things. The WGSL framing is chef’s kiss.
Iris Novak • Writer
Feb 4, 2026
I’ve already recommended it twice. The WebGPU chapter alone is worth the price.
Samira Khan • Founder
Jan 30, 2026
Okay, wow. This is one of those books that makes you want to do things. The WebGPU framing is chef’s kiss.
Ava Patel • Student
Feb 6, 2026
The book rewards re-reading. On pass two, the GPU Programming connections become more explicit and surprisingly rigorous.
Jules Nakamura • QA Lead
Feb 3, 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 Parallel Computing made me instantly calmer about getting started.
Lina Ahmed • Product Manager
Jan 30, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Data Structures arguments land.
Leo Sato • Automation
Feb 3, 2026
A solid “read → apply today” book. Also: 2026 vibes.
Samira Khan • Founder
Jan 29, 2026
Okay, wow. This is one of those books that makes you want to do things. The Algorithms framing is chef’s kiss.
Noah Kim • Indie Dev
Feb 6, 2026
Practical, not preachy. Loved the Parallel Computing examples.
Nia Walker • Teacher
Feb 2, 2026
Okay, wow. This is one of those books that makes you want to do things. The GPU Programming framing is chef’s kiss.
Ethan Brooks • Professor
Feb 3, 2026
It pairs nicely with what’s trending around 2026—you finish a chapter and think: “okay, I can do something with this.”
Sophia Rossi • Editor
Feb 3, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Graphics Rendering arguments land.
Jules Nakamura • QA Lead
Feb 6, 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.
Zoe Martin • Designer
Feb 3, 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.
Noah Kim • Indie Dev
Jan 31, 2026
A solid “read → apply today” book. Also: 2026 vibes.
Nia Walker • Teacher
Jan 29, 2026
The trailer tie-ins made it feel like it was written for right now. Huge win.
Benito Silva • Analyst
Jan 30, 2026
Practical, not preachy. Loved the WGSL examples.
Jules Nakamura • QA Lead
Feb 3, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Graphics Rendering sections feel super practical.
Omar Reyes • Data Engineer
Feb 2, 2026
It pairs nicely with what’s trending around 2026—you finish a chapter and think: “okay, I can do something with this.”
Sophia Rossi • Editor
Jan 30, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Data Structures arguments land.
Jules Nakamura • QA Lead
Jan 29, 2026
It pairs nicely with what’s trending around february—you finish a chapter and think: “okay, I can do something with this.”
Iris Novak • Writer
Feb 2, 2026
I’ve already recommended it twice. The Data Structures chapter alone is worth the price.
Zoe Martin • Designer
Jan 31, 2026
A friend asked what I learned and I could actually explain it—because the Graphics Rendering chapter is built for recall.
Maya Chen • UX Researcher
Feb 4, 2026
The trailer tie-ins made it feel like it was written for right now. Huge win.
Ethan Brooks • Professor
Feb 2, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Graphics Rendering sections feel super practical.
Lina Ahmed • Product Manager
Feb 3, 2026
The book rewards re-reading. On pass two, the WGSL connections become more explicit and surprisingly rigorous.
Jules Nakamura • QA Lead
Feb 6, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Algorithms sections feel super practical.
Lina Ahmed • Product Manager
Feb 3, 2026
The book rewards re-reading. On pass two, the Parallel Computing connections become more explicit and surprisingly rigorous.
Noah Kim • Indie Dev
Feb 2, 2026
Fast to start. Clear chapters. Great on Data Structures.
Nia Walker • Teacher
Feb 2, 2026
The making tie-ins made it feel like it was written for right now. Huge win.
Ethan Brooks • Professor
Feb 5, 2026
It pairs nicely with what’s trending around week—you finish a chapter and think: “okay, I can do something with this.”
Zoe Martin • Designer
Feb 2, 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.
Jules Nakamura • QA Lead
Feb 6, 2026
It pairs nicely with what’s trending around february—you finish a chapter and think: “okay, I can do something with this.”
Ethan Brooks • Professor
Feb 5, 2026
It pairs nicely with what’s trending around february—you finish a chapter and think: “okay, I can do something with this.”
Lina Ahmed • Product Manager
Jan 30, 2026
The book rewards re-reading. On pass two, the Data Structures connections become more explicit and surprisingly rigorous.
Theo Grant • Security
Feb 5, 2026
A solid “read → apply today” book. Also: february vibes.
Maya Chen • UX Researcher
Feb 7, 2026
I’ve already recommended it twice. The GPU Programming chapter alone is worth the price.
Benito Silva • Analyst
Jan 29, 2026
Practical, not preachy. Loved the Graphics Rendering examples. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Sophia Rossi • Editor
Feb 1, 2026
If you care about conceptual clarity and transfer, the trailer tie-ins are useful prompts for further reading.
Maya Chen • UX Researcher
Feb 4, 2026
The read tie-ins made it feel like it was written for right now. Huge win.
Iris Novak • Writer
Feb 3, 2026
Okay, wow. This is one of those books that makes you want to do things. The WebGPU framing is chef’s kiss.
Zoe Martin • Designer
Jan 31, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The WGSL part hit that hard.
Sophia Rossi • Editor
Jan 29, 2026
The book rewards re-reading. On pass two, the Algorithms connections become more explicit and surprisingly rigorous.
Maya Chen • UX Researcher
Feb 6, 2026
The trailer tie-ins made it feel like it was written for right now. Huge win.
Ethan Brooks • Professor
Feb 4, 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.
Omar Reyes • Data Engineer
Jan 29, 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 Parallel Computing made me instantly calmer about getting started.
Ava Patel • Student
Feb 6, 2026
If you care about conceptual clarity and transfer, the making tie-ins are useful prompts for further reading.
Jules Nakamura • QA Lead
Jan 31, 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.
Iris Novak • Writer
Jan 29, 2026
The trailer tie-ins made it feel like it was written for right now. Huge win.
Benito Silva • Analyst
Feb 1, 2026
Fast to start. Clear chapters. Great on GPU Programming. (Side note: if you like WebGPU Development Pixels: Shader Programming (Paperback), you’ll likely enjoy this too.)
Sophia Rossi • Editor
Feb 5, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Data Structures arguments land.
Maya Chen • UX Researcher
Feb 5, 2026
Okay, wow. This is one of those books that makes you want to do things. The WebGPU framing is chef’s kiss.
Ethan Brooks • Professor
Feb 7, 2026
It pairs nicely with what’s trending around week—you finish a chapter and think: “okay, I can do something with this.”
Zoe Martin • Designer
Feb 1, 2026
If you enjoyed WebGPU Development Pixels: Shader Programming (Paperback), this one scratches a similar itch—especially around trailer and momentum.
Noah Kim • Indie Dev
Feb 1, 2026
A solid “read → apply today” book. Also: 2026 vibes.
Iris Novak • Writer
Feb 6, 2026
I’ve already recommended it twice. The Parallel Computing chapter alone is worth the price.
Benito Silva • Analyst
Jan 30, 2026
Fast to start. Clear chapters. Great on GPU Programming.
Sophia Rossi • Editor
Feb 2, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Algorithms arguments land.
Leo Sato • Automation
Feb 3, 2026
Fast to start. Clear chapters. Great on WebGPU.
Samira Khan • Founder
Feb 6, 2026
I’ve already recommended it twice. The Algorithms chapter alone is worth the price.
Harper Quinn • Librarian
Feb 5, 2026
A solid “read → apply today” book. Also: february vibes.
Ava Patel • Student
Feb 1, 2026
If you care about conceptual clarity and transfer, the making tie-ins are useful prompts for further reading. (Side note: if you like WebGPU Development Pixels: Shader Programming (Paperback), you’ll likely enjoy this too.)
Leo Sato • Automation
Feb 6, 2026
Fast to start. Clear chapters. Great on WGSL.
Noah Kim • Indie Dev
Feb 4, 2026
Fast to start. Clear chapters. Great on WebGPU.
Nia Walker • Teacher
Jan 29, 2026
I’ve already recommended it twice. The WebGPU chapter alone is worth the price.
Ethan Brooks • Professor
Jan 29, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Parallel Computing sections feel super practical.
Sophia Rossi • Editor
Feb 5, 2026
The book rewards re-reading. On pass two, the Parallel Computing connections become more explicit and surprisingly rigorous.
Maya Chen • UX Researcher
Feb 7, 2026
I’ve already recommended it twice. The Graphics Rendering chapter alone is worth the price.
Ethan Brooks • Professor
Jan 30, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The WGSL sections feel super practical.
Zoe Martin • Designer
Feb 2, 2026
If you enjoyed WebGPU Data Visualization Cookbook (2nd Edition), this one scratches a similar itch—especially around making and momentum.
Demo thread: varied voice, nested replies, topic-matching language. Replace with real community posts if you collect them.
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 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.
more like this
Related books
Internal links help readers and improve crawl depth.
