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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
$149.99

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 a fresh perspective to this Parallel Programming work, making it essential reading 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
173
Reviews
492
Pages
2
Editions
3
Languages
3
Awards
20
Weeks on List

What People Are Saying

A masterpiece of C++ Programming - truly transformative reading.

— Alex Johnson
The New York Times

After reading this, I'll never look at Parallel Programming the same way again.

— Sam Wilson
Booklist

The author's insights into Heterogeneous Computing are nothing short of revolutionary.

— Taylor Smith
Publishers Weekly

Related News

Tencent Cloud, DigitalOcean, and Alibaba Cloud add OpenClaw support, giving users access to the AI agent service; many OpenClaw users run it on a Mac mini (Simon Sharwood/The Register)

<A HREF="https://www.theregister.com/2026/02/04/cloud_hosted_openclaw/"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/260204/i14.jpg"></A> <P><A HREF="http://www.tec...

Wed, 04 Feb 2026 06:20:03 -0500

Customer Reviews

Noel Kennedy

Noel Kennedy

E-Reader Maven

★★★★★

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 High‑Performance Computing enthusiasts.

January 30, 2026
Case Lennox

Case Lennox

Annotation Addict

★★★★☆

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

January 31, 2026
Parker Sloan

Parker Sloan

Classic Lit Connoisseur

★★★★★

OpenCL Compute offers a compelling take on OpenCL, though not without flaws. While the treatment of Cross‑Platform Development is excellent, I found the sections on Compute Kernels 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 GPU Computing more than compensate for any weaknesses. Readers looking for Compute Kernels will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on Programming, if not the definitive work.

February 2, 2026
River Maddox

River Maddox

Narrative Therapist

★★★★☆

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 Parallel 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!

January 23, 2026
Wren Sinclair

Wren Sinclair

Verbal Visionary

★★★★☆

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 8, 2026
Ash Monroe

Ash Monroe

Prologue Pundit

★★★★★

I absolutely loved OpenCL Compute! It completely changed my perspective on OpenCL. At first I wasn't sure about Software Development, 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 Compute Kernels. 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!

January 14, 2026
Harley Quinn

Harley Quinn

Chapter Flow Enthusiast

★★★★★

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 Programming that aren't always fully supported. That said, the book's strengths in discussing C++ Programming 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 Parallel Programming, if not the definitive work.

January 15, 2026
Brooklyn Lee

Brooklyn Lee

Story 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 Software Development.A must-read for GPGPU enthusiasts.

January 26, 2026
Jesse Archer

Jesse Archer

Verse Voyager

★★★★★

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 Software Development. The methodological rigor and theoretical framework make this an essential read for anyone interested in C Programming. While some may argue that Programming, 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 3, 2026
Kora James

Kora James

Genre 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 High‑Performance Computing.A must-read for Parallel Programming enthusiasts.

January 10, 2026
Sky Monroe

Sky Monroe

Modern Classics Reviewer

★★★★★

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

January 18, 2026
Eden Blake

Eden Blake

Dialog Detective

★★★★★

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 Heterogeneous Computing, which provides fresh insights into Parallel Programming. The methodological rigor and theoretical framework make this an essential read for anyone interested in GPGPU. While some may argue that Programming, 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 5, 2026

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Reader Discussions

Alex Johnson

Alex Johnson

Question for those who've read OpenCL Compute: what did you think of High‑Performance Computing?

Alex Johnson
Alex Johnson

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

Sam Wilson
Sam Wilson

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

Taylor Smith
Taylor Smith

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

Jordan Lee
Jordan Lee

Have you thought about how GPU Computing relates to Heterogeneous Computing? Adds another layer!

Casey Brown
Casey Brown

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

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Sam Wilson

Sam Wilson

How does OpenCL Compute compare to other works about High‑Performance Computing?

Sam Wilson
Sam Wilson

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

Taylor Smith
Taylor Smith

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

Jordan Lee
Jordan Lee

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

Casey Brown
Casey Brown

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

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

Interesting perspective. I saw OpenCL differently - more as High‑Performance Computing.

Riley Martinez
Riley Martinez

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

Taylor Smith

Taylor Smith

After reading OpenCL Compute, I'm seeing C++ Programming in a whole new light.

Taylor Smith
Taylor Smith

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

Jordan Lee
Jordan Lee

Yes! And don't forget about C Programming - that part was amazing.

Jordan Lee

Jordan Lee

How does OpenCL Compute compare to other works about High‑Performance Computing?

Jordan Lee
Jordan Lee

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

Casey Brown
Casey Brown

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

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Riley Martinez
Riley Martinez

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

Harper Davis
Harper Davis

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

Casey Brown

Casey Brown

Can we talk about how OpenCL Compute handles C++ Programming? So C Programming!

Casey Brown
Casey Brown

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

Morgan Taylor
Morgan Taylor

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

Morgan Taylor

Morgan Taylor

Question for those who've read OpenCL Compute: what did you think of GPGPU?

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Jamie Garcia

Jamie Garcia

After reading OpenCL Compute, I'm seeing C Programming in a whole new light.

Jamie Garcia
Jamie Garcia

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

Riley Martinez
Riley Martinez

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

Harper Davis
Harper Davis

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

Quinn Bennett
Quinn Bennett

Yes! And don't forget about Parallel Programming - that part was amazing.

Riley Martinez

Riley Martinez

Book club discussion: OpenCL Compute - chapter 6 thoughts?

Riley Martinez
Riley Martinez

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

Harper Davis
Harper Davis

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