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Item #:
122743484
CUDA C++ Debugging: Safer GPU Kernel Programming (Generative AI LLM Programming)
86% of respondents would recommend this to a friend
Item #:
122743484
MDL 294
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Improve reliability without sacrificing performance and reduce development time by finding, fixing, and forgetting GPU coding errors.
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What Stands Out
Safer Kernels
Enhances GPU programming with safer kernel code, reducing runtime errors and improving reliability, making it easier for developers to create robust applications without worrying about typical pitfalls.
Debugging Tools
Equipped with advanced debugging tools tailored for CUDA C++, allowing developers to trace errors efficiently, optimize performance, and streamline the debugging process for complex GPU workloads.
Generative AI Support
Integrates generative AI capabilities, enabling dynamic and adaptive development approaches that simplify coding tasks, enhance productivity, and empower developers to leverage AI in optimizing their GPU applications.
Product Details
| Publisher | Independently published |
| Publication date | October 13, 2024 |
| Language | English |
| Print length | 210 pages |
| ISBN-13 | 979-8343064841 |
| Item Weight | 13.3 ounces (377.06 grams) |
| Dimensions | 6 x 0.48 x 9 inches (15.2 x 1.2 x 22.9 cm) |
| Part of series | Generative AI LLM Programming |
Who Should Buy?
-
GPU Developers
Ideal for developers seeking to enhance their CUDA skills and improve GPU kernel debugging methodologies.
-
AI Researchers
Beneficial for researchers working on AI models that require optimization and efficient GPU usage.
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Students Learning
Great for students new to CUDA programming, providing practical debugging scenarios in a guided format.
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Beginners Without C++
Not suitable for users who lack foundational knowledge in C++ programming or GPU concepts.
Product Description
CUDA C++ Debugging: Safer GPU Kernel Programming (Generative AI LLM Programming)
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Parallel Programming Editorial Review
CUDA C++ Debugging: Safer GPU Kernel Programming (Generative AI LLM Programming) is an independently published guide, designed to enhance your GPU programming skills while ensuring safety and efficiency. The book, released on October 13, 2024, spans 210 pages and covers critical aspects of GPU kernel development. With a focus on avoiding common pitfalls, it serves as an essential resource for programmers looking to delve into advanced CUDA concepts. The reader feedback highlights its clarity and practical examples, making complex topics accessible. Whether you're a beginner or an experienced developer, this book aims to elevate your programming expertise while promoting safer coding practices.
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Pros
- Clear explanations for complex GPU topics
- Practical examples enhance learning
- Suitable for both beginners and experts
- Focus on safer programming techniques
- Well-organized layout for easy navigation
Cons
- Limited to CUDA focus, may not cover other frameworks
Product Price History
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MDL 294
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Features & Benefits
- Learn essential CUDA C++ programming tools and techniques.
- Improve reliability of GPU kernels with effective debugging.
- Reduce development time by addressing common coding errors.
- Get insights on both beginner and advanced CUDA C++ bugs.
- Utilize debugging and memory checking tools for better performance.
- Develop resilient code to prevent and recover from bugs.
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