ISBN: 9798278959335
Published: December 12, 2024
Categories: Parallel Programming GPU Computing High‑Performance Computing Programming Software Development
OpenCL Compute (Paperback)
This comprehensive guide to OpenCL, GPU Computing, Parallel Programming provides readers with in-depth knowledge and practical skills. Whether you're a beginner or an experienced professional, this book will help you master Parallel Programming.
What You'll Learn:
- Master OpenCL techniques
- Master GPU Computing techniques
- Master Parallel Programming techniques
- Master Heterogeneous Computing techniques
- Master Compute Kernels techniques
- Practical real-world examples
- Best practices from industry experts
I watched The RIP on Netflix — Ben Affleck and Matt Damon's new movie commits too many crimes to be considered a genre great
Jan 15The popular actors' new crime thriller is a fairly enjoyable, albeit f...
Airbnb seemingly confirms Apple’s self-driving car — and what it reveals about Apple’s AI shift, and Airbnb’s future
Jan 15Airbnb's most recent hiring announcement inadvertently, and seemingly,...
How to watch Shoresy season 5 on SBS — it's *FREE*
Jan 15Shoresy season 5 is here and you can stream all episodes at no cost on...
Overall Rating
Review Highlights
Mike T.
"I never thought I'd say this about a book on Compute Kernels, but I couldn't put it down! The way the author explains High‑Performance Computing com..."
Dr. Samantha Chen
"This seminal work by esteemed authors provides a comprehensive examination of GPU Computing. The theoretical framework presented in chapter 3 particul..."
BookWorm99
"The best Programming book I've read this year...."
All Reviews
Mike T.
I never thought I'd say this about a book on Compute Kernels, but I couldn't put it down! The way the author explains High‑Performance Computing completely changed my perspective.
Dr. Samantha Chen
This seminal work by esteemed authors provides a comprehensive examination of GPU Computing. The theoretical framework presented in chapter 3 particularly stands out as groundbreaking in the field of Parallel Programming.
BookWorm99
The best Programming book I've read this year.
CodeMaster
The best Programming book I've read this year.
BookWorm99
Essential reading for anyone working with Cross‑Platform Development. 5/5 stars!
Start a Discussion
Recent Discussions
.
December 18, 2025This is a comment about the book. I particularly liked the parts about OpenCL, GPU Computing, Parallel Programming. Would recommend to anyone interested in Parallel Programming!
Reply
.
December 25, 2025This is a nested (level 1) comment about the book. I particularly liked the parts about OpenCL, GPU Computing, Parallel Programming. Would recommend to anyone interested in Software Development!
.
December 16, 2025This is a comment about the book. I particularly liked the parts about OpenCL, GPU Computing, Parallel Programming. Would recommend to anyone interested in GPU Computing!
Reply
.
January 7, 2026This is a nested (level 1) comment about the book. I particularly liked the parts about OpenCL, GPU Computing. Would recommend to anyone interested in Programming!
.
January 13, 2026This is a nested (level 1) comment about the book. I particularly liked the parts about OpenCL, GPU Computing, Parallel Programming. Would recommend to anyone interested in GPU Computing!
.
January 4, 2026This is a comment about the book. I particularly liked the parts about OpenCL, GPU Computing. Would recommend to anyone interested in High‑Performance Computing!
Reply
.
January 14, 2026This is a nested (level 1) comment about the book. I particularly liked the parts about OpenCL, GPU Computing, Parallel Programming. Would recommend to anyone interested in Programming!
.
December 17, 2025This is a nested (level 1) comment about the book. I particularly liked the parts about OpenCL, GPU Computing, Parallel Programming. Would recommend to anyone interested in GPU Computing!
.
December 27, 2025This is a nested (level 1) comment about the book. I particularly liked the parts about OpenCL, GPU Computing, Parallel Programming. Would recommend to anyone interested in High‑Performance Computing!