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OpenCL Compute

OpenCL Compute

ISBN: 9798278959335 | Published: December 12, 2024 | Categories: Parallel Programming, GPU Computing, High‑Performance Computing, Programming, Software Development
$171.99

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.

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Book Stats

4
Average Rating
260
Reviews
310
Pages
2
Editions
2
Languages
1
Awards
8
Weeks on List

What People Are Saying

A masterpiece of GPU Computing - truly transformative reading.

— Alex Johnson
The New York Times

You'll finish this book with a completely new understanding of GPU Computing.

— Sam Wilson
Booklist

You'll finish this book with a completely new understanding of C Programming.

— Taylor Smith
Publishers Weekly

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Customer Reviews

Reagan Marsh

Reagan Marsh

Mystery Solver

★★★★★

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 Heterogeneous Computing enthusiasts.

January 16, 2026
Micah Knight

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 Parallel Programming, which provides fresh insights into Parallel Programming. The methodological rigor and theoretical framework make this an essential read for anyone interested in GPU Computing. 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 Software Development.

January 15, 2026
Cameron Wells

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 OpenCL, 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 Cross‑Platform Development, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of Parallel Programming.

December 26, 2025
Finley Cross

Finley Cross

Paperback Philosopher

★★★★☆

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 OpenCL 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 Parallel Programming feel so accessible. I'll definitely be rereading this one - there's so much to take in!

December 30, 2025
Remy Jordan

Remy Jordan

Cover Art Enthusiast

★★★★☆

I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about Heterogeneous 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 Parallel Programming feel so accessible. I'll definitely be rereading this one - there's so much to take in!

January 23, 2026
Justice Palmer

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 Cross‑Platform Development, which provides fresh insights into Heterogeneous Computing. The methodological rigor and theoretical framework make this an essential read for anyone interested in Programming. While some may argue that GPU Computing, 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 12, 2026
Kai Barrett

Kai Barrett

Literary Scout

★★★★★

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 Heterogeneous Computing less convincing. The author makes some bold claims about Compute Kernels 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 GPU Computing will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on GPGPU, if not the definitive work.

December 31, 2025
Monroe Steele

Monroe Steele

Novel Digest Contributor

★★★★☆

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 GPU Computing less convincing. The author makes some bold claims about OpenCL 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 Heterogeneous Computing will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on Heterogeneous Computing, if not the definitive work.

January 6, 2026
Hunter Lane

Hunter Lane

Reading Retreat Host

★★★★★

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 Parallel Programming. The methodological rigor and theoretical framework make this an essential read for anyone interested in GPU Computing. 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 6, 2026
Jordan Spencer

Jordan Spencer

Library Trends Curator

★★★★☆

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 Programming enthusiasts.

January 17, 2026
Sage Franklin

Sage Franklin

Wordsmith Watcher

★★★★★

I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about OpenCL, 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 C++ Programming. 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!

December 28, 2025
Noel Kennedy

Noel Kennedy

E-Reader Maven

★★★★★

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 GPU Computing less convincing. The author makes some bold claims about Heterogeneous Computing that aren't always fully supported. That said, the book's strengths in discussing Parallel Programming 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 C++ Programming, if not the definitive work.

January 5, 2026

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Reader Discussions

Alex Johnson

Alex Johnson

Just finished OpenCL Compute - wow! The part about Compute Kernels really got me thinking.

Alex Johnson
Alex Johnson

I'm not sure I agree about Parallel Programming. To me, it seemed more like Cross‑Platform Development.

Sam Wilson
Sam Wilson

I'd add that GPU Computing is also worth considering in this discussion.

Taylor Smith
Taylor Smith

Great point! It reminds me of OpenCL from another book I read.

Sam Wilson

Sam Wilson

I'm halfway through OpenCL Compute and C Programming is blowing my mind!

Sam Wilson
Sam Wilson

Have you thought about how GPU Computing relates to C++ Programming? Adds another layer!

Taylor Smith
Taylor Smith

I think the author could have developed Heterogeneous Computing more, but overall great.

Jordan Lee
Jordan Lee

I think the author could have developed C++ Programming more, but overall great.

Casey Brown
Casey Brown

Have you thought about how High‑Performance Computing relates to Parallel Programming? Adds another layer!

Morgan Taylor
Morgan Taylor

Have you thought about how Parallel Programming relates to Compute Kernels? Adds another layer!

Jamie Garcia
Jamie Garcia

I think the author could have developed GPGPU more, but overall great.

Riley Martinez
Riley Martinez

For me, the real strength was GPU Computing, but I see what you mean about GPGPU.

Taylor Smith

Taylor Smith

The Cross‑Platform Development aspect of OpenCL Compute is what makes it stand out for me.

Taylor Smith
Taylor Smith

Have you thought about how OpenCL relates to OpenCL? Adds another layer!

Jordan Lee
Jordan Lee

Great point! It reminds me of C++ Programming from another book I read.

Casey Brown
Casey Brown

I'd add that C++ Programming is also worth considering in this discussion.

Morgan Taylor
Morgan Taylor

I completely agree! The way the author approaches Parallel Programming is brilliant.

Jamie Garcia
Jamie Garcia

I'm not sure I agree about Cross‑Platform Development. To me, it seemed more like GPU Computing.

Riley Martinez
Riley Martinez

I think the author could have developed GPU Computing more, but overall great.

Harper Davis
Harper Davis

I'd add that C Programming is also worth considering in this discussion.

Jordan Lee

Jordan Lee

After reading OpenCL Compute, I'm seeing GPU Computing in a whole new light.

Jordan Lee
Jordan Lee

I completely agree! The way the author approaches Heterogeneous Computing is brilliant.

Casey Brown
Casey Brown

I completely agree! The way the author approaches C++ Programming is brilliant.

Morgan Taylor
Morgan Taylor

What did you think about OpenCL? That's what really stayed with me.

Jamie Garcia
Jamie Garcia

For me, the real strength was Cross‑Platform Development, but I see what you mean about C++ Programming.

Riley Martinez
Riley Martinez

Great point! It reminds me of GPGPU from another book I read.

Harper Davis
Harper Davis

I'd add that Heterogeneous Computing is also worth considering in this discussion.

Casey Brown

Casey Brown

Has anyone else read OpenCL Compute? I'd love to discuss Parallel Programming!

Casey Brown
Casey Brown

I completely agree! The way the author approaches Compute Kernels is brilliant.

Morgan Taylor
Morgan Taylor

I'd add that Heterogeneous Computing is also worth considering in this discussion.

Jamie Garcia
Jamie Garcia

Yes! And don't forget about Compute Kernels - that part was amazing.

Riley Martinez
Riley Martinez

For me, the real strength was High‑Performance Computing, but I see what you mean about Compute Kernels.

Harper Davis
Harper Davis

What did you think about Parallel Programming? That's what really stayed with me.

Quinn Bennett
Quinn Bennett

Have you thought about how C Programming relates to C Programming? Adds another layer!

Reese Campbell
Reese Campbell

For me, the real strength was C Programming, but I see what you mean about GPGPU.

Morgan Taylor

Morgan Taylor

Just finished OpenCL Compute - wow! The part about GPGPU really got me thinking.

Morgan Taylor
Morgan Taylor

I completely agree! The way the author approaches Heterogeneous Computing is brilliant.

Jamie Garcia
Jamie Garcia

I completely agree! The way the author approaches GPGPU is brilliant.

Riley Martinez
Riley Martinez

Interesting perspective. I saw GPU Computing differently - more as OpenCL.

Harper Davis
Harper Davis

I completely agree! The way the author approaches Parallel Programming is brilliant.

Quinn Bennett
Quinn Bennett

Yes! And don't forget about High‑Performance Computing - that part was amazing.

Reese Campbell
Reese Campbell

I'm not sure I agree about GPGPU. To me, it seemed more like C Programming.

Jamie Garcia

Jamie Garcia

Book club discussion: OpenCL Compute - chapter 8 thoughts?

Jamie Garcia
Jamie Garcia

Interesting perspective. I saw Heterogeneous Computing differently - more as GPU Computing.

Riley Martinez
Riley Martinez

I'm not sure I agree about GPU Computing. To me, it seemed more like Heterogeneous Computing.

Riley Martinez

Riley Martinez

Has anyone else read OpenCL Compute? I'd love to discuss Compute Kernels!

Riley Martinez
Riley Martinez

I'm not sure I agree about Parallel Programming. To me, it seemed more like GPU Computing.

Harper Davis
Harper Davis

What did you think about Compute Kernels? That's what really stayed with me.

Quinn Bennett
Quinn Bennett

Great point! It reminds me of OpenCL from another book I read.

Reese Campbell
Reese Campbell

I'd add that Heterogeneous Computing is also worth considering in this discussion.