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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
$120.99

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
138
Reviews
271
Pages
2
Editions
2
Languages
2
Awards
3
Weeks on List

What People Are Saying

This book redefines what we thought we knew about Parallel Programming.

— Alex Johnson
The New York Times

Essential reading for anyone interested in C Programming.

— Sam Wilson
Booklist

Essential reading for anyone interested in GPGPU.

— Taylor Smith
Publishers Weekly

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Customer Reviews

Zuri Vaughn

Zuri Vaughn

Award Watcher

★★★★★

OpenCL Compute offers a compelling take on OpenCL, though not without flaws. While the treatment of Compute Kernels is excellent, I found the sections on Parallel Programming less convincing. The author makes some bold claims about GPGPU 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.

January 10, 2026
Theo McCall

Theo McCall

Writer’s Workshop Critic

★★★★☆

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 Parallel Programming. While some may argue that C++ 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 12, 2026
Kieran Ryder

Kieran Ryder

Pacing Analyst

★★★★★

I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about C Programming, but by chapter 3 I was completely hooked. The way the author explains Heterogeneous 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 Parallel Programming feel so accessible. I'll definitely be rereading this one - there's so much to take in!

January 10, 2026
Bex Hunt

Bex Hunt

Book Binger Extraordinaire

★★★★★

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 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 C Programming. 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!

February 6, 2026
Isla Drew

Isla Drew

Review Roundtable Moderator

★★★★☆

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 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 C Programming. 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!

January 10, 2026
Zane West

Zane West

Literature Lab Technician

★★★★★

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

February 2, 2026
Dallas Shea

Dallas Shea

Epistolary Expert

★★★★☆

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

January 16, 2026
Greer Fallon

Greer Fallon

Paranormal Plot Hunter

★★★★☆

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 Software Development. The methodological rigor and theoretical framework make this an essential read for anyone interested in High‑Performance 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 GPU Computing.

January 12, 2026
Luca Connors

Luca Connors

Indie Press Evangelist

★★★★★

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 Cross‑Platform Development. The methodological rigor and theoretical framework make this an essential read for anyone interested in C++ Programming. 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 C Programming.

February 4, 2026
Brady Vale

Brady Vale

Narrative Nuancer

★★★★★

OpenCL Compute offers a compelling take on OpenCL, though not without flaws. While the treatment of OpenCL 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 Heterogeneous 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 Parallel Programming, if not the definitive work.

February 3, 2026
Onyx Tate

Onyx Tate

Paperback Traveler

★★★★☆

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 Software Development, 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 OpenCL, 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 4, 2026
Koda Lark

Koda Lark

Thought Provoker

★★★★★

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.

February 2, 2026

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Reader Discussions

Alex Johnson

Alex Johnson

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

Alex Johnson
Alex Johnson

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

Sam Wilson
Sam Wilson

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

Taylor Smith
Taylor Smith

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

Jordan Lee
Jordan Lee

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

Casey Brown
Casey Brown

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

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Sam Wilson

Sam Wilson

I'm halfway through OpenCL Compute and GPU Computing is blowing my mind!

Sam Wilson
Sam Wilson

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

Taylor Smith
Taylor Smith

What did you think about Cross‑Platform Development? That's what really stayed with me.

Jordan Lee
Jordan Lee

I completely agree! The way the author approaches High‑Performance Computing is brilliant.

Casey Brown
Casey Brown

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

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Taylor Smith

Taylor Smith

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

Taylor Smith
Taylor Smith

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

Jordan Lee
Jordan Lee

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

Casey Brown
Casey Brown

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

Jordan Lee

Jordan Lee

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

Jordan Lee
Jordan Lee

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

Casey Brown
Casey Brown

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

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Casey Brown

Casey Brown

How does OpenCL Compute compare to other works about C++ Programming?

Casey Brown
Casey Brown

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

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

Interesting perspective. I saw GPU Computing differently - more as C++ Programming.

Morgan Taylor

Morgan Taylor

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

Morgan Taylor
Morgan Taylor

For me, the real strength was Compute Kernels, but I see what you mean about Cross‑Platform Development.

Jamie Garcia
Jamie Garcia

I'd add that Cross‑Platform Development is also worth considering in this discussion.

Jamie Garcia

Jamie Garcia

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

Jamie Garcia
Jamie Garcia

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

Riley Martinez
Riley Martinez

What did you think about High‑Performance Computing? That's what really stayed with me.

Harper Davis
Harper Davis

I'd add that High‑Performance Computing is also worth considering in this discussion.

Quinn Bennett
Quinn Bennett

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

Riley Martinez

Riley Martinez

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

Riley Martinez
Riley Martinez

What did you think about Cross‑Platform Development? That's what really stayed with me.

Harper Davis
Harper Davis

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

Quinn Bennett
Quinn Bennett

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

Reese Campbell
Reese Campbell

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

Drew Parker
Drew Parker

Yes! And don't forget about Cross‑Platform Development - that part was amazing.