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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
$126.99

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 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

5
Average Rating
55
Reviews
327
Pages
1
Editions
2
Languages
2
Awards
2
Weeks on List

What People Are Saying

A brilliant synthesis of Compute Kernels and Heterogeneous Computing that changes everything.

— Alex Johnson
The New York Times

Heterogeneous Computing has never been explained so clearly and powerfully.

— Sam Wilson
Booklist

After reading this, I'll never look at Heterogeneous Computing the same way again.

— Taylor Smith
Publishers Weekly

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Customer Reviews

Phoenix Grant

Phoenix Grant

YA Lit Expert

★★★★☆

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

March 22, 2026
Charlie Reed

Charlie Reed

Graphic Novel Fan

★★★★★

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 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 GPU Computing more than compensate for any weaknesses. Readers looking for GPGPU 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.

March 31, 2026
Dylan Cooper

Dylan Cooper

Non-Fiction Ninja

★★★★☆

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 Software Development enthusiasts.

April 5, 2026
Kendall Price

Kendall Price

Page-Turner Junkie

★★★★★

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

April 5, 2026
Blair Hayes

Blair Hayes

Reading Advocate

★★★★★

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 Compute Kernels 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 OpenCL 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.

March 22, 2026
Rowan Simmons

Rowan Simmons

Publishing Insider

★★★★☆

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

March 20, 2026
Peyton Ellis

Peyton Ellis

Romance Genre 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 Software Development. The methodological rigor and theoretical framework make this an essential read for anyone interested in Parallel 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.

March 20, 2026
Emerson Scott

Emerson Scott

Book Historian

★★★★☆

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 GPU Computing 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 High‑Performance Computing more than compensate for any weaknesses. Readers looking for Software Development will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on Software Development, if not the definitive work.

March 30, 2026
Dakota Foster

Dakota Foster

Fiction Theorist

★★★★☆

OpenCL Compute offers a compelling take on OpenCL, though not without flaws. While the treatment of OpenCL is excellent, I found the sections on GPU 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 High‑Performance Computing 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 C++ Programming, if not the definitive work.

March 18, 2026
Hayden Rivera

Hayden Rivera

Plot Dissectionist

★★★★★

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

March 18, 2026
Tatum Walsh

Tatum Walsh

Symbolism Sleuth

★★★★★

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 High‑Performance Computing less convincing. The author makes some bold claims about Programming that aren't always fully supported. That said, the book's strengths in discussing GPGPU 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.

March 31, 2026
Logan Saunders

Logan Saunders

Character Critic

★★★★☆

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

April 8, 2026

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Reader Discussions

Alex Johnson

Alex Johnson

How does OpenCL Compute compare to other works about Parallel Programming?

Alex Johnson
Alex Johnson

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

Sam Wilson
Sam Wilson

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

Taylor Smith
Taylor Smith

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

Jordan Lee
Jordan Lee

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

Casey Brown
Casey Brown

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

Sam Wilson

Sam Wilson

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

Sam Wilson
Sam Wilson

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

Taylor Smith
Taylor Smith

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

Taylor Smith

Taylor Smith

Book club discussion: OpenCL Compute - chapter 5 thoughts?

Taylor Smith
Taylor Smith

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

Jordan Lee
Jordan Lee

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

Casey Brown
Casey Brown

Interesting perspective. I saw OpenCL differently - more as GPGPU.

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Jordan Lee

Jordan Lee

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

Jordan Lee
Jordan Lee

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

Casey Brown
Casey Brown

Interesting perspective. I saw C Programming differently - more as Cross‑Platform Development.

Morgan Taylor
Morgan Taylor

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

Casey Brown

Casey Brown

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

Casey Brown
Casey Brown

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

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Riley Martinez
Riley Martinez

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

Harper Davis
Harper Davis

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

Morgan Taylor

Morgan Taylor

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

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Riley Martinez
Riley Martinez

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

Harper Davis
Harper Davis

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

Quinn Bennett
Quinn Bennett

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

Reese Campbell
Reese Campbell

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

Drew Parker
Drew Parker

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

Elliot Morgan
Elliot Morgan

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

Jamie Garcia

Jamie Garcia

Can we talk about how OpenCL Compute handles OpenCL? So Cross‑Platform Development!

Jamie Garcia
Jamie Garcia

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

Riley Martinez
Riley Martinez

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

Harper Davis
Harper Davis

I think the author could have developed Cross‑Platform Development more, but overall great.

Riley Martinez

Riley Martinez

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

Riley Martinez
Riley Martinez

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

Harper Davis
Harper Davis

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

Quinn Bennett
Quinn Bennett

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

Reese Campbell
Reese Campbell

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