I'm halfway through OpenCL Compute and Cross‑Platform Development is blowing my mind!
OpenCL Compute
$97.99
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
469
Reviews
316
Pages
2
Editions
1
Languages
1
Awards
8
Weeks on List
What People Are Saying
You'll finish this book with a completely new understanding of High‑Performance Computing.
The New York Times
You'll finish this book with a completely new understanding of Heterogeneous Computing.
Booklist
OpenCL has never been explained so clearly and powerfully.
Publishers Weekly
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Customer Reviews
Briar Noel
Book Launch Insider
★★★★★
OpenCL Compute offers a compelling take on OpenCL, though not without flaws. While the treatment of High‑Performance Computing is excellent, I found the sections on OpenCL 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 High‑Performance Computing will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on High‑Performance Computing, if not the definitive work.
January 31, 2026
Remington Hart
Retelling Enthusiast
★★★★★
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 High‑Performance Computing, which provides fresh insights into High‑Performance Computing. The methodological rigor and theoretical framework make this an essential read for anyone interested in High‑Performance Computing. While some may argue that Compute Kernels, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of Software Development.
February 17, 2026
Tiernan Brooks
First Edition Collector
★★★★☆
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.
February 16, 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 Parallel Programming, which provides fresh insights into Programming. The methodological rigor and theoretical framework make this an essential read for anyone interested in Cross‑Platform Development. While some may argue that Software Development, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of C++ Programming.
January 30, 2026
Emery Frost
Fairy Tale Re-Interpreter
★★★★☆
I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about Programming, but by chapter 3 I was completely hooked. The way the author explains GPU Computing 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 High‑Performance Computing feel so accessible. I'll definitely be rereading this one - there's so much to take in!
January 27, 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 High‑Performance Computing.A must-read for Parallel Programming enthusiasts.
January 27, 2026
Ocean Dax
Reading Ritualist
★★★★★
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 GPGPU. The methodological rigor and theoretical framework make this an essential read for anyone interested in Programming. While some may argue that Heterogeneous Computing, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of Parallel Programming.
February 12, 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 Parallel Programming.A must-read for Parallel Programming enthusiasts.
January 24, 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 High‑Performance Computing.A must-read for GPGPU enthusiasts.
February 18, 2026
Elio Hartley
Title Whisperer
★★★★☆
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 High‑Performance Computing enthusiasts.
January 25, 2026
Blair Orion
Booklist Composer
★★★★☆
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 Compute Kernels, which provides fresh insights into Parallel Programming. The methodological rigor and theoretical framework make this an essential read for anyone interested in Software Development. While some may argue that Software Development, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of High‑Performance Computing.
February 16, 2026
Echo Sterling
Self-Published Sleuth
★★★★★
OpenCL Compute offers a compelling take on OpenCL, though not without flaws. While the treatment of Parallel Programming is excellent, I found the sections on C Programming less convincing. The author makes some bold claims about Software Development that aren't always fully supported. That said, the book's strengths in discussing Software Development 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 GPU Computing, if not the definitive work.
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Reader Discussions
Alex Johnson
February 11, 2026
Sam Wilson
February 10, 2026
How does OpenCL Compute compare to other works about GPU Computing?
Sam Wilson
February 17, 2026
I think the author could have developed OpenCL more, but overall great.
Taylor Smith
February 16, 2026
I think the author could have developed OpenCL more, but overall great.
Jordan Lee
February 17, 2026
For me, the real strength was High‑Performance Computing, but I see what you mean about GPU Computing.
Casey Brown
February 19, 2026
What did you think about Heterogeneous Computing? That's what really stayed with me.
Morgan Taylor
February 23, 2026
I completely agree! The way the author approaches GPU Computing is brilliant.
Jamie Garcia
February 17, 2026
Yes! And don't forget about Heterogeneous Computing - that part was amazing.
Riley Martinez
February 22, 2026
I'm not sure I agree about OpenCL. To me, it seemed more like C Programming.
Harper Davis
February 16, 2026
For me, the real strength was Parallel Programming, but I see what you mean about Compute Kernels.
Taylor Smith
February 13, 2026
Can we talk about how OpenCL Compute handles C++ Programming? So Cross‑Platform Development!
Taylor Smith
February 16, 2026
Have you thought about how High‑Performance Computing relates to OpenCL? Adds another layer!
Jordan Lee
February 16, 2026
For me, the real strength was Cross‑Platform Development, but I see what you mean about Compute Kernels.
Casey Brown
February 23, 2026
Great point! It reminds me of Parallel Programming from another book I read.
Morgan Taylor
February 16, 2026
What did you think about Cross‑Platform Development? That's what really stayed with me.
Jordan Lee
February 20, 2026
I'm halfway through OpenCL Compute and C Programming is blowing my mind!
Jordan Lee
February 21, 2026
Have you thought about how C Programming relates to GPU Computing? Adds another layer!
Casey Brown
February 21, 2026
What did you think about High‑Performance Computing? That's what really stayed with me.
Morgan Taylor
February 23, 2026
For me, the real strength was High‑Performance Computing, but I see what you mean about High‑Performance Computing.
Jamie Garcia
February 22, 2026
I'm not sure I agree about Compute Kernels. To me, it seemed more like Heterogeneous Computing.
Riley Martinez
February 23, 2026
What did you think about High‑Performance Computing? That's what really stayed with me.
Casey Brown
February 9, 2026
Just finished OpenCL Compute - wow! The part about C Programming really got me thinking.
Casey Brown
February 17, 2026
Great point! It reminds me of High‑Performance Computing from another book I read.
Morgan Taylor
February 23, 2026
I think the author could have developed C Programming more, but overall great.
Morgan Taylor
February 17, 2026
How does OpenCL Compute compare to other works about GPGPU?
Morgan Taylor
February 20, 2026
I'm not sure I agree about GPU Computing. To me, it seemed more like Parallel Programming.
Jamie Garcia
February 22, 2026
I completely agree! The way the author approaches Cross‑Platform Development is brilliant.
Riley Martinez
February 16, 2026
Great point! It reminds me of OpenCL from another book I read.
Harper Davis
February 19, 2026
I think the author could have developed Compute Kernels more, but overall great.
Jamie Garcia
February 19, 2026
Recommendations for books similar to OpenCL Compute in terms of OpenCL?
Jamie Garcia
February 18, 2026
Have you thought about how Heterogeneous Computing relates to Parallel Programming? Adds another layer!
Riley Martinez
February 21, 2026
What did you think about Compute Kernels? That's what really stayed with me.
Harper Davis
February 22, 2026
I completely agree! The way the author approaches Parallel Programming is brilliant.
Quinn Bennett
February 22, 2026
I'm not sure I agree about Compute Kernels. To me, it seemed more like C++ Programming.
Reese Campbell
February 16, 2026
I completely agree! The way the author approaches OpenCL is brilliant.
Drew Parker
February 23, 2026
Interesting perspective. I saw GPGPU differently - more as Parallel Programming.
Riley Martinez
February 15, 2026
Question for those who've read OpenCL Compute: what did you think of Parallel Programming?
Riley Martinez
February 16, 2026
Interesting perspective. I saw GPGPU differently - more as Parallel Programming.
Harper Davis
February 20, 2026
Yes! And don't forget about C Programming - that part was amazing.
Quinn Bennett
February 17, 2026
I'm not sure I agree about OpenCL. To me, it seemed more like GPU Computing.
Reese Campbell
February 16, 2026
Great point! It reminds me of Compute Kernels from another book I read.
I think the author could have developed Parallel Programming more, but overall great.
Great point! It reminds me of OpenCL from another book I read.
Interesting perspective. I saw Cross‑Platform Development differently - more as C++ Programming.
I think the author could have developed Heterogeneous Computing more, but overall great.
For me, the real strength was C Programming, but I see what you mean about C Programming.
I'd add that Compute Kernels is also worth considering in this discussion.