Book Details
ISBN: 9798278959335
Publication Date: December 12, 2024
Categories:
Keywords:
Quick Stats
Reads: 1125
Discussions: 25
Quotes Saved: 9
Difficulty: 5/5
Practicality: 5/5
Depth: 3/5
OpenCL Compute
About This Book
This comprehensive guide to OpenCL and GPU Computing provides readers with both theoretical foundations and practical applications. The author's approach to Programming has been praised for its clarity and depth, making complex concepts accessible to professionals and enthusiasts alike.
With a focus on real-world Parallel Programming, this book stands out from others in the field by emphasizing Heterogeneous Computing through detailed examples and case studies. Whether you're new to GPU Computing or looking to deepen your expertise, this volume offers valuable insights at every level.
"Essential reading for anyone serious about GPU Computing"
—Professor
Based on survey of 281 professionals
In the News
Book Riot’s Deals of the Day for February 14, 2026
Book Review • February 14, 2026
This roundup of essential reading for Parallel Programming includes praise for the book's groundbreaking work on GPU Computing.
Book Riot’s Deals of the Day for February 15, 2026
Book Review • February 15, 2026
This roundup of essential reading for Parallel Programming includes praise for the book's groundbreaking work on GPU Computing.
Clearing Out the Book News Pantry
Book Review • February 13, 2026
This roundup of essential reading for Parallel Programming includes praise for the book's groundbreaking work on GPU Computing.
Reader Reviews
Robert Brown
Technology Expert
While other books cover Parallel Programming, none do so with the clarity and depth this one achieves. The comparison tables in chapter 4 alone make it superior to competing titles.
Emma Williams
Web Development Expert
The best book on GPU Computing I've read this year. Worth every penny.
Olivia Martinez
Game Design Expert
As someone who's struggled with Parallel Programming, this book was a revelation. The practical exercises for Heterogeneous Computing have already improved my daily routine. I've recommended it to all my colleagues in Parallel Programming.
James Wilson
Debugging Expert
This book sat on my shelf for months before I finally started it. What a mistake that was! Once I began, I couldn't put it down. The chapters on GPU Computing spoke directly to challenges I've faced in my own work with High‑Performance Computing.
Lisa Rodriguez
Analytics Expert
Having read several books on Programming, I can confidently say this one stands out for its practical approach to OpenCL. Where others get bogged down in theory, this book delivers actionable insights.
Michael Chen
Programming Expert
As someone who's struggled with Parallel Programming, this book was a revelation. The practical exercises for Heterogeneous Computing have already improved my daily routine. I've recommended it to all my colleagues in Parallel Programming.
David Kim
JavaScript Expert
After searching forums and watching tutorials with no success, this book's treatment of Heterogeneous Computing gave me the breakthrough I needed. The diagrams alone are worth the price.
Sarah Johnson
Game Development Expert
Having read several books on Programming, I can confidently say this one stands out for its practical approach to OpenCL. Where others get bogged down in theory, this book delivers actionable insights.
Emma Williams
Web Development Expert
As someone who's struggled with Parallel Programming, this book was a revelation. The practical exercises for Heterogeneous Computing have already improved my daily routine. I've recommended it to all my colleagues in Parallel Programming.
James Wilson
Debugging Expert
I never thought I'd enjoy reading about OpenCL until I picked up this book. It completely changed my perspective on Programming and how it relates to everyday GPU Computing. The author has a gift for making complex ideas accessible.
Community Discussions
SolutionRobert Brown
Technology Expert • 2787 views
For anyone facing issues with Parallel Programming, the troubleshooting guide in chapter 4 saved me hours of frustration.
SolutionSarah Johnson
February 5, 2026I had the same question. The key is to focus on GPGPU first.
Robert Brown
February 14, 2026I disagree with this approach. The book's method for GPGPU has some flaws in my experience.
Emma Williams
February 8, 2026For those coming from a Software Development background, there's an alternative approach that might work better.
SolutionSarah Johnson
Game Development Expert • 1086 views
For anyone facing issues with Parallel Programming, the troubleshooting guide in chapter 5 saved me hours of frustration.
SolutionEmma Williams
Web Development Expert • 3819 views
After struggling with GPU Computing for weeks, the step-by-step breakdown in section 4.2 was exactly what I needed.
SolutionMichael Chen
February 11, 2026For those coming from a High‑Performance Computing background, there's an alternative approach that might work better.
James Wilson
February 7, 2026I had the same question. The key is to focus on Cross‑Platform Development first.
James Wilson
February 14, 2026I disagree with this approach. The book's method for GPGPU has some flaws in my experience.
Sarah Johnson
February 12, 2026For those coming from a GPU Computing background, there's an alternative approach that might work better.
SolutionMichael Chen
Programming Expert • 2020 views
Solved: I had this problem with OpenCL, but the book's explanation on page 161 clarified everything. Spent ages on Google before finding this!
SolutionSarah Johnson
Game Development Expert • 3330 views
Solved: I had this problem with OpenCL, but the book's explanation on page 56 clarified everything. Spent ages on Google before finding this!
Olivia Martinez
Game Design Expert • 540 views
Is the Parallel Programming methodology still current with today's standards in GPU Computing?
Michael Chen
February 9, 2026This solution should be marked as the accepted answer. It's exactly what the book recommends on page 122.
David Kim
JavaScript Expert • 855 views
I'd love to hear how others are applying the GPU Computing principles in real-world GPU Computing scenarios.
Robert Brown
February 8, 2026Can you share more details about your implementation?
Olivia Martinez
February 11, 2026For those coming from a GPU Computing background, there's an alternative approach that might work better.
Lisa Rodriguez
February 6, 2026I disagree with this approach. The book's method for OpenCL has some flaws in my experience.
Michael Chen
February 7, 2026This solution should be marked as the accepted answer. It's exactly what the book recommends on page 142.
Olivia Martinez
February 7, 2026I had the same question. The key is to focus on Cross‑Platform Development first.
Lisa Rodriguez
Analytics Expert • 4263 views
I'd love to hear how others are applying the GPU Computing principles in real-world GPU Computing scenarios.
Robert Brown
Technology Expert • 4906 views
How does the OpenCL technique compare to the standard methods we see in most Programming texts?
Michael Chen
Programming Expert • 1665 views
Has anyone successfully implemented the OpenCL approach from chapter 3? I'm stuck on the part about GPU Computing.
Lisa Rodriguez
February 14, 2026Can you share more details about your implementation?
James Wilson
Debugging Expert • 4714 views
How does the OpenCL technique compare to the standard methods we see in most Programming texts?
Lisa Rodriguez
February 6, 2026This solution should be marked as the accepted answer. It's exactly what the book recommends on page 130.
Michael Chen
February 14, 2026For those coming from a High‑Performance Computing background, there's an alternative approach that might work better.
Emma Williams
February 5, 2026For those coming from a Programming background, there's an alternative approach that might work better.
Emma Williams
February 14, 2026This solution should be marked as the accepted answer. It's exactly what the book recommends on page 155.
Michael Chen
February 7, 2026Can you share more details about your implementation?
David Kim
JavaScript Expert • 4508 views
Has anyone successfully implemented the OpenCL approach from chapter 3? I'm stuck on the part about GPU Computing.
Lisa Rodriguez
February 14, 2026This worked perfectly for me too! Saved me so much time.
Emma Williams
Web Development Expert • 4965 views
Has anyone successfully implemented the OpenCL approach from chapter 3? I'm stuck on the part about GPU Computing.
James Wilson
Debugging Expert • 1458 views
What prerequisites would you recommend before tackling this book's material on Programming?
David Kim
February 12, 2026Can you share more details about your implementation?
Emma Williams
February 13, 2026I disagree with this approach. The book's method for Parallel Programming has some flaws in my experience.
Olivia Martinez
February 14, 2026I disagree with this approach. The book's method for Heterogeneous Computing has some flaws in my experience.
Lisa Rodriguez
Analytics Expert • 2921 views
What prerequisites would you recommend before tackling this book's material on Programming?
Emma Williams
February 7, 2026Can you share more details about your implementation?
Emma Williams
February 11, 2026This solution should be marked as the accepted answer. It's exactly what the book recommends on page 127.
James Wilson
February 6, 2026For those coming from a High‑Performance Computing background, there's an alternative approach that might work better.
Emma Williams
February 15, 2026Can you share more details about your implementation?
James Wilson
February 8, 2026I disagree with this approach. The book's method for C++ Programming has some flaws in my experience.
Highlighted Quotes
"The most insightful perspective on OpenCL I've encountered. This changed how I approach GPU Computing entirely."
"My key takeaway: 'Heterogeneous Computing, when properly understood, renders OpenCL almost trivial.' The proof is in the results."
"As the author notes in chapter 3, 'GPU Computing is not just about Parallel Programming, but rather about Heterogeneous Computing.' This distinction makes all the difference."
"The most insightful perspective on OpenCL I've encountered. This changed how I approach GPU Computing entirely."
"As the author notes in chapter 8, 'GPU Computing is not just about Parallel Programming, but rather about Heterogeneous Computing.' This distinction makes all the difference."
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