OpenCL Compute
A comprehensive guide to mastering OpenCL, GPU Computing, Parallel Programming and more.
Book Details
- ISBN: 9798278959335
- Publication Date: December 12, 2024
- Pages: 598
- Publisher: Tech Publications
About This Book
This book provides in-depth coverage of OpenCL and GPU Computing, offering practical insights and real-world examples that developers can apply immediately in their projects.
What You'll Learn
- Master the fundamentals of OpenCL
- Implement advanced techniques for GPU Computing
- Optimize performance in Parallel Programming applications
- Apply best practices from industry experts
- Troubleshoot common issues and pitfalls
Who This Book Is For
This book is perfect for developers with intermediate experience looking to deepen their knowledge of OpenCL and GPU Computing. Whether you're building enterprise applications or working on personal projects, you'll find valuable insights and techniques.
Reviews & Discussions
It’s like having a mentor walk you through the nuances of High‑Performance Computing. I especially liked the real-world case studies woven throughout. The performance gains we achieved after implementing these ideas were immediate.
I was struggling with until I read this book Heterogeneous Computing. I was able to apply what I learned immediately to a client project.
I keep coming back to this book whenever I need guidance on C Programming.
I keep coming back to this book whenever I need guidance on GPGPU. The author anticipates the reader’s questions and answers them seamlessly. The real-world scenarios made the concepts feel immediately applicable.
It’s the kind of book that stays relevant no matter how much you know about Compute. The author's real-world experience shines through in every chapter.
This helped me connect the dots I’d been missing in GPU Computing.
A must-read for anyone trying to master C++ Programming.
This is now my go-to reference for all things related to GPGPU. It’s packed with practical wisdom that only comes from years in the field.
A must-read for anyone trying to master C Programming.
This book distilled years of confusion into a clear roadmap for Cross‑Platform Development. The tone is encouraging and empowering, even when tackling tough topics. The debugging strategies outlined here saved me hours of frustration.
This book distilled years of confusion into a clear roadmap for OpenCL. Each section builds logically and reinforces key concepts without being repetitive.
This book gave me the confidence to tackle challenges in GPGPU.
The writing is engaging, and the examples are spot-on for C Programming.
This is now my go-to reference for all things related to High‑Performance Computing.
The author has a gift for explaining complex concepts about Parallel Programming. The troubleshooting tips alone are worth the price of admission.
I finally feel equipped to make informed decisions about High‑Performance Computing.
I keep coming back to this book whenever I need guidance on Compute. It’s the kind of book you’ll keep on your desk, not your shelf. The debugging strategies outlined here saved me hours of frustration.
A must-read for anyone trying to master Cross‑Platform Development. It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read.
I've read many books on this topic, but this one stands out for its clarity on C Programming.
It’s the kind of book that stays relevant no matter how much you know about OpenCL.
This book gave me the confidence to tackle challenges in High‑Performance Computing.
It’s the kind of book that stays relevant no matter how much you know about Heterogeneous Computing. This book gave me a new framework for thinking about system architecture. This is exactly what our team needed to overcome our technical challenges.
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