How does OpenCL Compute compare to other works about GPU Computing?
OpenCL Compute
$157.99
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 award-winning 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
4
Average Rating
455
Reviews
515
Pages
3
Editions
2
Languages
1
Awards
5
Weeks on List
What People Are Saying
You'll finish this book with a completely new understanding of Cross‑Platform Development.
The New York Times
A masterpiece of C Programming - truly transformative reading.
Booklist
After reading this, I'll never look at C++ Programming the same way again.
Publishers Weekly
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Wed, 04 Feb 2026 11:02:00 +0000Customer Reviews
Micah Knight
Booktok Influencer
★★★★☆
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 Programming, which provides fresh insights into High‑Performance Computing. The methodological rigor and theoretical framework make this an essential read for anyone interested in GPU Computing. 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 Compute Kernels.
January 8, 2026
Cameron Wells
Storyline Architect
★★★★★
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 C++ Programming, which provides fresh insights into Cross‑Platform Development. The methodological rigor and theoretical framework make this an essential read for anyone interested in GPGPU. While some may argue that High‑Performance 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.
January 15, 2026
Finley Cross
Paperback Philosopher
★★★★☆
I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about GPU Computing, but by chapter 3 I was completely hooked. The way the author explains High‑Performance 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 Cross‑Platform Development. What I appreciated most was how the book made Parallel Programming feel so accessible. I'll definitely be rereading this one - there's so much to take in!
January 28, 2026
Remy Jordan
Cover Art Enthusiast
★★★★☆
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 Software Development.A must-read for Cross‑Platform Development enthusiasts.
February 2, 2026
Justice Palmer
Chapter Whisperer
★★★★★
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 Programming, which provides fresh insights into High‑Performance Computing. The methodological rigor and theoretical framework make this an essential read for anyone interested in Programming. While some may argue that Parallel Programming, 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.
January 14, 2026
Kai Barrett
Literary Scout
★★★★★
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 C Programming.A must-read for High‑Performance Computing enthusiasts.
January 20, 2026
Monroe Steele
Novel Digest Contributor
★★★★☆
I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about GPU Computing, but by chapter 3 I was completely hooked. The way the author explains Cross‑Platform Development 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 OpenCL feel so accessible. I'll definitely be rereading this one - there's so much to take in!
January 30, 2026
Hunter Lane
Reading Retreat Host
★★★★★
OpenCL Compute offers a compelling take on OpenCL, though not without flaws. While the treatment of C Programming 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 Cross‑Platform Development more than compensate for any weaknesses. Readers looking for 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.
January 26, 2026
Jordan Spencer
Library Trends 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 High‑Performance Computing, which provides fresh insights into Programming. The methodological rigor and theoretical framework make this an essential read for anyone interested in Heterogeneous Computing. While some may argue that Parallel Programming, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of Programming.
January 18, 2026
Sage Franklin
Wordsmith Watcher
★★★★★
I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about High‑Performance Computing, but by chapter 3 I was completely hooked. The way the author explains Software Development 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 Parallel Programming. What I appreciated most was how the book made C Programming feel so accessible. I'll definitely be rereading this one - there's so much to take in!
January 13, 2026
Noel Kennedy
E-Reader Maven
★★★★★
I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about GPU Computing, 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 High‑Performance Computing feel so accessible. I'll definitely be rereading this one - there's so much to take in!
January 31, 2026
Case Lennox
Annotation Addict
★★★★☆
I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about Parallel Programming, but by chapter 3 I was completely hooked. The way the author explains 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 GPGPU. What I appreciated most was how the book made GPU Computing feel so accessible. I'll definitely be rereading this one - there's so much to take in!
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Reader Discussions
Alex Johnson
February 3, 2026
Sam Wilson
January 23, 2026
How does OpenCL Compute compare to other works about Heterogeneous Computing?
Sam Wilson
January 30, 2026
I'd add that Cross‑Platform Development is also worth considering in this discussion.
Taylor Smith
February 3, 2026
Have you thought about how C Programming relates to Parallel Programming? Adds another layer!
Jordan Lee
January 30, 2026
For me, the real strength was Heterogeneous Computing, but I see what you mean about GPGPU.
Casey Brown
February 2, 2026
Great point! It reminds me of GPU Computing from another book I read.
Morgan Taylor
February 4, 2026
Yes! And don't forget about OpenCL - that part was amazing.
Jamie Garcia
January 29, 2026
Great point! It reminds me of Cross‑Platform Development from another book I read.
Taylor Smith
January 22, 2026
Recommendations for books similar to OpenCL Compute in terms of OpenCL?
Taylor Smith
February 3, 2026
Interesting perspective. I saw Cross‑Platform Development differently - more as Parallel Programming.
Jordan Lee
February 4, 2026
Interesting perspective. I saw GPGPU differently - more as Parallel Programming.
Casey Brown
January 31, 2026
I think the author could have developed Compute Kernels more, but overall great.
Morgan Taylor
February 2, 2026
Yes! And don't forget about Cross‑Platform Development - that part was amazing.
Jamie Garcia
February 4, 2026
Interesting perspective. I saw Cross‑Platform Development differently - more as C Programming.
Jordan Lee
January 23, 2026
Question for those who've read OpenCL Compute: what did you think of C++ Programming?
Jordan Lee
February 4, 2026
Yes! And don't forget about Heterogeneous Computing - that part was amazing.
Casey Brown
February 2, 2026
Yes! And don't forget about Cross‑Platform Development - that part was amazing.
Morgan Taylor
January 30, 2026
For me, the real strength was C++ Programming, but I see what you mean about OpenCL.
Casey Brown
February 2, 2026
Can we talk about how OpenCL Compute handles Compute Kernels? So GPGPU!
Casey Brown
January 29, 2026
Have you thought about how Cross‑Platform Development relates to Cross‑Platform Development? Adds another layer!
Morgan Taylor
January 28, 2026
I think the author could have developed OpenCL more, but overall great.
Jamie Garcia
January 29, 2026
What did you think about Heterogeneous Computing? That's what really stayed with me.
Riley Martinez
January 29, 2026
Have you thought about how OpenCL relates to Cross‑Platform Development? Adds another layer!
Harper Davis
February 2, 2026
Yes! And don't forget about Cross‑Platform Development - that part was amazing.
Quinn Bennett
January 28, 2026
I think the author could have developed Cross‑Platform Development more, but overall great.
Reese Campbell
February 4, 2026
Interesting perspective. I saw Cross‑Platform Development differently - more as C++ Programming.
Morgan Taylor
February 2, 2026
I'm halfway through OpenCL Compute and GPU Computing is blowing my mind!
Morgan Taylor
January 29, 2026
I completely agree! The way the author approaches OpenCL is brilliant.
Jamie Garcia
February 4, 2026
Have you thought about how High‑Performance Computing relates to OpenCL? Adds another layer!
Riley Martinez
February 4, 2026
Have you thought about how Parallel Programming relates to GPU Computing? Adds another layer!
Harper Davis
January 30, 2026
For me, the real strength was Cross‑Platform Development, but I see what you mean about Compute Kernels.
Quinn Bennett
February 2, 2026
Have you thought about how Heterogeneous Computing relates to C Programming? Adds another layer!
Reese Campbell
February 4, 2026
I'd add that GPGPU is also worth considering in this discussion.
Drew Parker
February 3, 2026
Great point! It reminds me of C++ Programming from another book I read.
Elliot Morgan
January 29, 2026
I'd add that C Programming is also worth considering in this discussion.
Jamie Garcia
February 2, 2026
Can we talk about how OpenCL Compute handles OpenCL? So Compute Kernels!
Jamie Garcia
February 2, 2026
I think the author could have developed C++ Programming more, but overall great.
Riley Martinez
January 30, 2026
Great point! It reminds me of Cross‑Platform Development from another book I read.
Harper Davis
January 28, 2026
Have you thought about how Parallel Programming relates to C++ Programming? Adds another layer!
Quinn Bennett
January 30, 2026
I'm not sure I agree about Compute Kernels. To me, it seemed more like Compute Kernels.
Reese Campbell
January 31, 2026
Have you thought about how C++ Programming relates to Heterogeneous Computing? Adds another layer!
Riley Martinez
January 30, 2026
How does OpenCL Compute compare to other works about Compute Kernels?
Riley Martinez
February 3, 2026
Yes! And don't forget about GPU Computing - that part was amazing.
Harper Davis
January 29, 2026
I'm not sure I agree about High‑Performance Computing. To me, it seemed more like Compute Kernels.
Quinn Bennett
February 4, 2026
For me, the real strength was Cross‑Platform Development, but I see what you mean about C Programming.
I think the author could have developed C++ Programming more, but overall great.
Great point! It reminds me of GPGPU from another book I read.
For me, the real strength was Compute Kernels, but I see what you mean about GPU Computing.
I'm not sure I agree about Parallel Programming. To me, it seemed more like OpenCL.
Great point! It reminds me of C Programming from another book I read.
I think the author could have developed GPGPU more, but overall great.