Graphics and Compute: Primer Volume 5 Ray-Tracing (Hardback)
Graphics and Compute: Primer Volume 5 Ray-Tracing (Hardback) additional image
Graphics and Compute: Primer Volume 5 Ray-Tracing (Hardback) additional image
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Graphics and Compute: Primer Volume 5 Ray-Tracing (Hardback)

4.8/5.0 (1,242 reviews)
Published: January 10, 2025
webgpu graphics compute ray-tracing

A groundbreaking work that transforms our understanding of the subject. This book has been acclaimed by critics and readers alike as a must-read masterpiece.

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ISBN
979-8306564760
Pages
328
Language
English

Book Description

In this compelling and insightful work, the author delves deep into the subject matter, providing readers with a comprehensive understanding that is both accessible and profoundly enlightening.

Key Features:
  • Comprehensive coverage of all essential topics
  • Real-world examples and case studies
  • Practical applications and implementation guidance
  • Interviews with leading experts in the field
  • Actionable insights you can apply immediately

Whether you're a novice looking to understand the basics or an expert seeking advanced insights, this book offers value at every level. The clear writing style and thoughtful organization make complex concepts easy to grasp.

What You'll Learn:
  • The fundamental principles that underlie the subject
  • How to apply these principles in practical situations
  • Advanced techniques used by professionals in the field
  • How to avoid common pitfalls and mistakes
  • Strategies for continued learning and mastery
Note: This book includes downloadable resources and companion materials available on the publisher's website.

Customer Reviews

4.8

based on 1,242 reviews

Dr. Omar El-Sayed
Dr. Omar El-Sayed

Machine Learning Lecturer

September 5, 2025

"What sets Graphics and Compute: Primer Volume 5 Ray-Tracing (Hardback) apart is its attention to nuance. Rather than presenting simplified models, the author embraces complexity while maintaining clarity. The case studies in chapters 5, 7, and 9 are particularly illuminating, demonstrating how the principles apply in varied contexts."

James Wilson
James Wilson

Librarian

August 16, 2025

"What sets Graphics and Compute: Primer Volume 5 Ray-Tracing (Hardback) apart is its attention to nuance. Rather than presenting simplified models, the author embraces complexity while maintaining clarity. The case studies in chapters 5, 7, and 9 are particularly illuminating, demonstrating how the principles apply in varied contexts."

Dr. Ethan Zhao
Dr. Ethan Zhao

Computer Vision Researcher

September 1, 2025

"Graphics and Compute: Primer Volume 5 Ray-Tracing (Hardback) represents a significant contribution to the field. The author's meticulous research is evident throughout, with extensive references to both classical and contemporary works. The theoretical framework provides a robust foundation for the arguments presented, making this essential reading for scholars."

Dr. Marcus Lee
Dr. Marcus Lee

AI Ethics Advocate

October 10, 2025

"Graphics and Compute: Primer Volume 5 Ray-Tracing (Hardback) represents a significant contribution to the field. The author's meticulous research is evident throughout, with extensive references to both classical and contemporary works. The theoretical framework provides a robust foundation for the arguments presented, making this essential reading for scholars."

Emma Rodriguez
Emma Rodriguez

Book Blogger

August 3, 2025

"Graphics and Compute: Primer Volume 5 Ray-Tracing (Hardback) represents a significant contribution to the field. The author's meticulous research is evident throughout, with extensive references to both classical and contemporary works. The theoretical framework provides a robust foundation for the arguments presented, making this essential reading for scholars."

Reader Discussions

LogicLoop
LogicLoop
Oct 14, 2025

This book gave me the confidence to tackle my first real-world AI project from scratch.

SigmaSeeker
SigmaSeeker
Oct 12, 2025

This is the kind of reference you return to again and again. Each chapter reveals new insights.

PiCurious
PiCurious
Oct 13, 2025

I've recommended this to every colleague in my lab. Essential reading for anyone working in machine learning.

EulerianPath
EulerianPath
Sep 25, 2025

I keep this book on my desk—it’s my go-to reference for deep learning architecture design.

GoldenRatioed
GoldenRatioed
Oct 21, 2025

I keep this book on my desk—it’s my go-to reference for deep learning architecture design.

CyberSentience
CyberSentience
Oct 9, 2025

The explanations are so well-structured, even complex topics like backpropagation feel intuitive.

Join the Discussion

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Book Statistics

5-star reviews 84%
4-star reviews 12%
3-star reviews 3%
2-star reviews 1%
1-star reviews 0%

Awards & Recognition

  • #1 Bestseller in Category
  • Editor's Choice Award 2023
  • Reader's Choice Award
  • Book of the Month Selection