Gone With The....

Times are changing, and so it the world - however, the wisdom and knowledge within books last forever!

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 a fresh perspective 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.

Buy Now on Amazon
Bestseller New Release

Book Stats

5
Average Rating
367
Reviews
430
Pages
3
Editions
5
Languages
1
Awards
0
Weeks on List

What People Are Saying

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

— Alex Johnson
The New York Times

GPGPU has never been explained so clearly and powerfully.

— Sam Wilson
Booklist

A masterpiece of Cross‑Platform Development - truly transformative reading.

— Taylor Smith
Publishers Weekly

Related News

Toni Geitani: Wahj review | Ammar Kalia's global album of the month

<p><strong>(Self-released)</strong><br>The Beirut-born producer’s masterly second album revels in dark tension to cinematic effect, finding beauty in ruinous sound</p><p>Arabic electronic experiment...

Fri, 09 Jan 2026 09:00:32 GMT

Customer Reviews

Emerson Scott

Emerson Scott

Book Historian

★★★★☆

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 Software Development. 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 GPU Computing.

December 16, 2025
Dakota Foster

Dakota Foster

Fiction Theorist

★★★★☆

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

December 17, 2025
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 Parallel Programming, which provides fresh insights into Heterogeneous Computing. The methodological rigor and theoretical framework make this an essential read for anyone interested in High‑Performance 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.

January 5, 2026
Tatum Walsh

Tatum Walsh

Symbolism Sleuth

★★★★★

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 High‑Performance 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 7, 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 High‑Performance 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 Programming. 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!

December 15, 2025
Arden Blake

Arden Blake

Dialogue Aesthete

★★★★★

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 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 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 Programming.

December 20, 2025
Devon Young

Devon Young

Literature Vlogger

★★★★☆

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 Programming less convincing. The author makes some bold claims about Software Development 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 OpenCL 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 6, 2026
Sawyer Greene

Sawyer Greene

Genre Blender

★★★★★

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 Compute Kernels enthusiasts.

January 2, 2026
Reagan Marsh

Reagan Marsh

Mystery Solver

★★★★★

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 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 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 2, 2026
Micah Knight

Micah Knight

Booktok Influencer

★★★★☆

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 OpenCL.A must-read for High‑Performance Computing enthusiasts.

December 12, 2025
Cameron Wells

Cameron Wells

Storyline Architect

★★★★★

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 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 Programming, if not the definitive work.

December 17, 2025
Finley Cross

Finley Cross

Paperback Philosopher

★★★★☆

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 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 High‑Performance Computing 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 Software Development, if not the definitive work.

January 6, 2026

You May Also Like

Reader Discussions

Alex Johnson

Alex Johnson

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

Alex Johnson
Alex Johnson

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

Sam Wilson
Sam Wilson

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

Taylor Smith
Taylor Smith

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

Sam Wilson

Sam Wilson

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

Sam Wilson
Sam Wilson

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

Taylor Smith
Taylor Smith

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

Jordan Lee
Jordan Lee

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

Casey Brown
Casey Brown

Interesting perspective. I saw OpenCL differently - more as Parallel Programming.

Morgan Taylor
Morgan Taylor

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

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 OpenCL. To me, it seemed more like High‑Performance Computing.

Jordan Lee
Jordan Lee

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

Casey Brown
Casey Brown

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

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Jordan Lee

Jordan Lee

Recommendations for books similar to OpenCL Compute in terms of Compute Kernels?

Jordan Lee
Jordan Lee

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

Casey Brown
Casey Brown

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

Casey Brown

Casey Brown

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

Casey Brown
Casey Brown

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

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Riley Martinez
Riley Martinez

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

Harper Davis
Harper Davis

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

Morgan Taylor

Morgan Taylor

Can we talk about how OpenCL Compute handles Compute Kernels? So High‑Performance Computing!

Morgan Taylor
Morgan Taylor

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

Jamie Garcia
Jamie Garcia

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

Riley Martinez
Riley Martinez

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

Harper Davis
Harper Davis

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

Quinn Bennett
Quinn Bennett

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

Jamie Garcia

Jamie Garcia

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

Jamie Garcia
Jamie Garcia

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

Riley Martinez
Riley Martinez

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

Harper Davis
Harper Davis

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

Quinn Bennett
Quinn Bennett

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

Riley Martinez

Riley Martinez

Recommendations for books similar to OpenCL Compute in terms of C++ Programming?

Riley Martinez
Riley Martinez

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

Harper Davis
Harper Davis

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

Quinn Bennett
Quinn Bennett

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

Reese Campbell
Reese Campbell

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

Drew Parker
Drew Parker

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

Elliot Morgan
Elliot Morgan

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

Avery Stone
Avery Stone

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

Skyler Brooks
Skyler Brooks

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