How does OpenCL Compute compare to other works about GPGPU?
OpenCL Compute
$155.99
This Parallel Programming book offers OpenCL and GPU Computing and Parallel Programming and Heterogeneous Computing and Compute Kernels and High‑Performance Computing and GPGPU and Cross‑Platform Development and C Programming and C++ Programming content that will transform your understanding of OpenCL. OpenCL Compute has been praised by critics and readers alike for its OpenCL, GPU Computing, Parallel Programming.
The highly acclaimed author brings years of experience to this Parallel Programming work, making it a must-have for anyone interested in OpenCL or GPU Computing or Parallel Programming or Heterogeneous Computing or Compute Kernels or High‑Performance Computing or GPGPU or Cross‑Platform Development or C Programming or C++ Programming.
Bestseller
New Release
Book Stats
5
Average Rating
185
Reviews
527
Pages
2
Editions
2
Languages
1
Awards
18
Weeks on List
What People Are Saying
C++ Programming has never been explained so clearly and powerfully.
The New York Times
You'll finish this book with a completely new understanding of OpenCL.
Booklist
The High‑Performance Computing discussion alone is worth the price of admission.
Publishers Weekly
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Tue, 21 Apr 2026 11:05:00 +0000Customer Reviews
Sage Winslow
Bookish Bard
★★★★★
Great book about OpenCL! Highly recommend.Essential reading for anyone into Parallel Programming.Couldn't put it down - finished in one sitting!The best Parallel Programming book I've read this year.Worth every penny - packed with useful insights about GPGPU.A must-read for Heterogeneous Computing enthusiasts.
April 3, 2026
Jory Stanton
Bookstore Nomad
★★★★☆
I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about Cross‑Platform Development, but by chapter 3 I was completely hooked. The way the author explains GPGPU is so clear and relatable - it's like they're talking directly to you. I've already recommended this to all my friends who are interested in Software Development. What I appreciated most was how the book made Software Development feel so accessible. I'll definitely be rereading this one - there's so much to take in!
April 4, 2026
Hale Rivers
Audio Book Binger
★★★★☆
I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about Compute Kernels, but by chapter 3 I was completely hooked. The way the author explains C Programming is so clear and relatable - it's like they're talking directly to you. I've already recommended this to all my friends who are interested in GPU Computing. What I appreciated most was how the book made Heterogeneous Computing feel so accessible. I'll definitely be rereading this one - there's so much to take in!
March 23, 2026
Briar Noel
Book Launch Insider
★★★★★
OpenCL Compute offers a compelling take on OpenCL, though not without flaws. While the treatment of Software Development is excellent, I found the sections on Parallel Programming less convincing. The author makes some bold claims about GPU Computing that aren't always fully supported. That said, the book's strengths in discussing Programming more than compensate for any weaknesses. Readers looking for Parallel Programming will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on C++ Programming, if not the definitive work.
April 6, 2026
Remington Hart
Retelling Enthusiast
★★★★★
OpenCL Compute offers a compelling take on OpenCL, though not without flaws. While the treatment of GPU Computing is excellent, I found the sections on Software Development less convincing. The author makes some bold claims about Parallel Programming that aren't always fully supported. That said, the book's strengths in discussing High‑Performance Computing more than compensate for any weaknesses. Readers looking for C Programming will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on OpenCL, if not the definitive work.
April 4, 2026
Tiernan Brooks
First Edition Collector
★★★★☆
This work by OpenCL Compute represents a significant contribution to the field of Parallel Programming. The author's approach to OpenCL demonstrates a sophisticated understanding that will benefit both novice and experienced readers alike. Particularly noteworthy is the discussion on OpenCL, which provides fresh insights into High‑Performance Computing. The methodological rigor and theoretical framework make this an essential read for anyone interested in Software Development. While some may argue that GPGPU, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of Parallel Programming.
April 19, 2026
Ashby Wells
Bookshelf Curator
★★★★★
This work by OpenCL Compute represents a significant contribution to the field of Parallel Programming. The author's approach to OpenCL demonstrates a sophisticated understanding that will benefit both novice and experienced readers alike. Particularly noteworthy is the discussion on GPU Computing, which provides fresh insights into GPU Computing. The methodological rigor and theoretical framework make this an essential read for anyone interested in Software Development. While some may argue that OpenCL, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of GPU Computing.
March 25, 2026
Emery Frost
Fairy Tale Re-Interpreter
★★★★☆
Great book about OpenCL! Highly recommend.Essential reading for anyone into Parallel Programming.Couldn't put it down - finished in one sitting!The best Parallel Programming book I've read this year.Worth every penny - packed with useful insights about OpenCL.A must-read for Software Development enthusiasts.
April 15, 2026
Lyric Knox
Plot Knot Untangler
★★★★★
Great book about OpenCL! Highly recommend.Essential reading for anyone into Parallel Programming.Couldn't put it down - finished in one sitting!The best Parallel Programming book I've read this year.Worth every penny - packed with useful insights about GPU Computing.A must-read for GPU Computing enthusiasts.
April 6, 2026
Ocean Dax
Reading Ritualist
★★★★★
OpenCL Compute offers a compelling take on OpenCL, though not without flaws. While the treatment of Programming is excellent, I found the sections on C++ Programming less convincing. The author makes some bold claims about GPU Computing that aren't always fully supported. That said, the book's strengths in discussing High‑Performance Computing more than compensate for any weaknesses. Readers looking for GPU Computing will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on Software Development, if not the definitive work.
April 8, 2026
Shiloh Monroe
Debut Book Reviewer
★★★★☆
Great book about OpenCL! Highly recommend.Essential reading for anyone into Parallel Programming.Couldn't put it down - finished in one sitting!The best Parallel Programming book I've read this year.Worth every penny - packed with useful insights about High‑Performance Computing.A must-read for Compute Kernels enthusiasts.
April 18, 2026
Nova Graham
Pseudonym Tracker
★★★★★
Great book about OpenCL! Highly recommend.Essential reading for anyone into Parallel Programming.Couldn't put it down - finished in one sitting!The best Parallel Programming book I've read this year.Worth every penny - packed with useful insights about Heterogeneous Computing.A must-read for C++ Programming enthusiasts.
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Reader Discussions
Alex Johnson
April 8, 2026
Sam Wilson
April 9, 2026
Can we talk about how OpenCL Compute handles OpenCL? So C Programming!
Sam Wilson
April 19, 2026
Yes! And don't forget about GPU Computing - that part was amazing.
Taylor Smith
April 17, 2026
I completely agree! The way the author approaches Compute Kernels is brilliant.
Jordan Lee
April 20, 2026
I completely agree! The way the author approaches Compute Kernels is brilliant.
Casey Brown
April 17, 2026
I'd add that OpenCL is also worth considering in this discussion.
Morgan Taylor
April 22, 2026
Have you thought about how Compute Kernels relates to Cross‑Platform Development? Adds another layer!
Jamie Garcia
April 22, 2026
I'd add that Cross‑Platform Development is also worth considering in this discussion.
Riley Martinez
April 20, 2026
For me, the real strength was C++ Programming, but I see what you mean about Cross‑Platform Development.
Harper Davis
April 17, 2026
What did you think about C Programming? That's what really stayed with me.
Taylor Smith
April 12, 2026
The OpenCL aspect of OpenCL Compute is what makes it stand out for me.
Taylor Smith
April 15, 2026
What did you think about C Programming? That's what really stayed with me.
Jordan Lee
April 16, 2026
Interesting perspective. I saw C++ Programming differently - more as OpenCL.
Casey Brown
April 20, 2026
I completely agree! The way the author approaches Cross‑Platform Development is brilliant.
Morgan Taylor
April 17, 2026
What did you think about GPGPU? That's what really stayed with me.
Jamie Garcia
April 15, 2026
I think the author could have developed OpenCL more, but overall great.
Riley Martinez
April 17, 2026
Interesting perspective. I saw Compute Kernels differently - more as GPU Computing.
Harper Davis
April 20, 2026
Have you thought about how GPU Computing relates to C++ Programming? Adds another layer!
Quinn Bennett
April 20, 2026
Great point! It reminds me of GPU Computing from another book I read.
Jordan Lee
April 14, 2026
Question for those who've read OpenCL Compute: what did you think of Cross‑Platform Development?
Jordan Lee
April 19, 2026
I completely agree! The way the author approaches C Programming is brilliant.
Casey Brown
April 19, 2026
I completely agree! The way the author approaches GPU Computing is brilliant.
Morgan Taylor
April 22, 2026
I think the author could have developed C++ Programming more, but overall great.
Jamie Garcia
April 16, 2026
Yes! And don't forget about Cross‑Platform Development - that part was amazing.
Riley Martinez
April 17, 2026
I think the author could have developed GPU Computing more, but overall great.
Harper Davis
April 22, 2026
I'd add that Compute Kernels is also worth considering in this discussion.
Quinn Bennett
April 22, 2026
For me, the real strength was GPU Computing, but I see what you mean about Cross‑Platform Development.
Casey Brown
April 12, 2026
Book club discussion: OpenCL Compute - chapter 11 thoughts?
Casey Brown
April 15, 2026
Have you thought about how GPGPU relates to Parallel Programming? Adds another layer!
Morgan Taylor
April 22, 2026
Have you thought about how GPGPU relates to C Programming? Adds another layer!
Jamie Garcia
April 15, 2026
What did you think about Compute Kernels? That's what really stayed with me.
Riley Martinez
April 15, 2026
I'd add that C Programming is also worth considering in this discussion.
Morgan Taylor
April 16, 2026
Question for those who've read OpenCL Compute: what did you think of Parallel Programming?
Morgan Taylor
April 17, 2026
Interesting perspective. I saw GPU Computing differently - more as GPU Computing.
Jamie Garcia
April 15, 2026
Interesting perspective. I saw OpenCL differently - more as Heterogeneous Computing.
Riley Martinez
April 21, 2026
I'm not sure I agree about Compute Kernels. To me, it seemed more like OpenCL.
Jamie Garcia
April 21, 2026
Book club discussion: OpenCL Compute - chapter 6 thoughts?
Jamie Garcia
April 20, 2026
Interesting perspective. I saw Heterogeneous Computing differently - more as GPU Computing.
Riley Martinez
April 15, 2026
What did you think about OpenCL? That's what really stayed with me.
Harper Davis
April 20, 2026
Interesting perspective. I saw C Programming differently - more as Compute Kernels.
Quinn Bennett
April 20, 2026
Great point! It reminds me of High‑Performance Computing from another book I read.
Riley Martinez
April 15, 2026
After reading OpenCL Compute, I'm seeing Compute Kernels in a whole new light.
Riley Martinez
April 18, 2026
Interesting perspective. I saw Compute Kernels differently - more as OpenCL.
Harper Davis
April 16, 2026
Have you thought about how Parallel Programming relates to Parallel Programming? Adds another layer!
Quinn Bennett
April 15, 2026
For me, the real strength was C Programming, but I see what you mean about High‑Performance Computing.
Reese Campbell
April 19, 2026
What did you think about GPU Computing? That's what really stayed with me.
Drew Parker
April 20, 2026
For me, the real strength was High‑Performance Computing, but I see what you mean about Parallel Programming.
Elliot Morgan
April 20, 2026
I'm not sure I agree about OpenCL. To me, it seemed more like Heterogeneous Computing.
Interesting perspective. I saw Parallel Programming differently - more as Heterogeneous Computing.
For me, the real strength was High‑Performance Computing, but I see what you mean about C Programming.
Interesting perspective. I saw Heterogeneous Computing differently - more as C Programming.