Mastering GPU Programming with C]+ and CUDA
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer science > Computer architecture and logic design > Parallel processing > Mastering GPU Programming with C]+ and CUDA
Mastering GPU Programming with C]+ and CUDA

Mastering GPU Programming with C]+ and CUDA


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

Master the full power of GPU acceleration and take your C++ applications to performance levels that CPUs alone simply can't reach.
Mastering GPU Programming with C++ and CUDA is a practical, modern, and results-driven guide for developers who want to build lightning-fast parallel applications, optimize CUDA workloads, and even deliver GPU-powered libraries that can be used directly from Python.
Whether you're accelerating simulations, processing massive datasets, building real-time applications, or exploring high-performance computing, this book shows you exactly how to harness NVIDIA GPUs with confidence-and produce software that truly scales.
Unlock the Real Performance Potential of GPUs
Starting from the core principles of parallelism and GPU architecture, you'll learn how to think like a GPU programmer. Step-by-step, you'll write your first kernels, optimize memory usage, scale across multiple GPUs, and leverage advanced features like CUDA streams and asynchronous execution.
Build Skills That Translate to Real-World Impact
Through clear explanations, hands-on examples, and professional optimization techniques, you will learn how to:

  1. Develop high-performance parallel applications in C++ and CUDA
  2. Optimize kernels, memory transfers, and GPU resource usage
  3. Analyze and eliminate bottlenecks with profiling tools
  4. Scale workloads using multi-GPU and distributed models
  5. Package GPU-powered code into reusable C++ libraries
  6. Expose CUDA libraries to Python using PyBind11 for broader adoption
Go Beyond Tutorials-Build Production-Ready Solutions
This isn't just a collection of code snippets. You'll explore real engineering practices:
  1. Modern C++ patterns for safer GPU resource management
  2. API design and modular GPU library architecture
  3. Deployment strategies for research, enterprise, and cloud environments
  4. Best practices for maintainability, testing, and cross-platform builds
Expand Your Reach with Python Integration
With Python now dominating AI, data science, and research, the book teaches you how to connect your GPU-accelerated C++ code to Python-turning your work into reusable, scalable, and widely adoptable tools.
Who This Book Is For
  1. C++ developers breaking into GPU computing
  2. Engineers and researchers building high-performance applications
  3. Professionals working in AI, simulation, finance, analytics, robotics, gaming, and scientific computing
  4. Anyone who wants to unlock more speed, scalability, and efficiency from their software
No prior CUDA experience is required just solid C++ fundamentals and the desire to push performance boundaries.
Why This Book Stands Out
Unlike generic CUDA resources, this book:
  1. Covers fundamentals and advanced optimization
  2. Bridges C++ and Python for maximum versatility
  3. Focuses on reusable, production-grade techniques
  4. Prepares you for the fast-evolving GPU landscape, cloud platforms, and next-gen hardware


Best Sellers


Product Details
  • ISBN-13: 9798276307541
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • ISBN-10: 827630754X
  • Publisher Date: 26 Nov 2025


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Mastering GPU Programming with C]+ and CUDA
Independently Published -
Mastering GPU Programming with C]+ and CUDA
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Mastering GPU Programming with C]+ and CUDA

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!