Computers & Internet
GPU-Accelerated Computing with Python 3 and CUDA (English, Niels Cautaerts | Hossein Ghorbanfekr)
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Specifications
| Publisher | Packt Publishing |
| Language | English |
| ISBN-13 | 9781803245423 |
| ISBN-10 | 1803245425 |
| Author | Niels Cautaerts | Hossein Ghorbanfekr |
Product Description
Here on GlowMirror, you'll find GPU-Accelerated Computing with Python 3 and CUDA filed under Computers & Internet -- everything you need to know is covered below.
About the Book
Accelerate your Python code on the GPU using CUDA, Numba, and modern libraries to solve real-world problems faster and more efficiently. Key Features: - Build a solid foundation in CUDA with Python, from kernel design to execution and debugging - Optimize GPU performance with efficient memory access, CUDA streams, and multi-GPU scaling - Use JAX, CuPy, RAPIDS, and Numba to accelerate numerical computing and machine learning - Create practical GPU…
ISBN: 9781803245423
Book Insights
What You'll Learn
- ·Fundamental and advanced concepts in GPU-Accelerated Computing with Python 3 and CUDA
- ·Code examples, algorithms, and implementation patterns
- ·Best practices and industry-relevant skills
Who Should Read This
Software developers, IT professionals, computer science students, and tech enthusiasts.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Frequently Asked Questions
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GPU-Accelerated Computing with Python 3 and CUDA is available at ₹5,246 on GlowMirror.
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Is GPU-Accelerated Computing with Python 3 and CUDA available in English?
GPU-Accelerated Computing with Python 3 and CUDA is available in English on GlowMirror.
Who is the author of GPU-Accelerated Computing with Python 3 and CUDA?
GPU-Accelerated Computing with Python 3 and CUDA is authored by Niels Cautaerts | Hossein Ghorbanfekr.
Who published GPU-Accelerated Computing with Python 3 and CUDA?
GPU-Accelerated Computing with Python 3 and CUDA is published by Packt Publishing.
How many pages does GPU-Accelerated Computing with Python 3 and CUDA have?
Page count information for GPU-Accelerated Computing with Python 3 and CUDA is available in the specifications section of this page.
How long does it take to read GPU-Accelerated Computing with Python 3 and CUDA?
At an average reading speed of 250 words per minute, reading GPU-Accelerated Computing with Python 3 and CUDA takes a few hours to a few days depending on reading pace.
What is GPU-Accelerated Computing with Python 3 and CUDA about?
About the Book
Accelerate your Python code on the GPU using CUDA, Numba, and modern libraries to solve real-world problems faster and more efficiently. Key Features: - Build a solid foundation in CUDA with Python, from kernel design to execution and debugging - Optimize GPU performance with effici...
Is GPU-Accelerated Computing with Python 3 and CUDA suitable for beginners?
Whether GPU-Accelerated Computing with Python 3 and CUDA is suitable for beginners depends on your background in Computers & Internet. Review the product description and specifications above for details on the target audience and difficulty level.
What edition is GPU-Accelerated Computing with Python 3 and CUDA?
GPU-Accelerated Computing with Python 3 and CUDA is from the Packt Publishing edition/year. Check the specifications section for full edition details.
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Is GPU-Accelerated Computing with Python 3 and CUDA a new or used book?
GPU-Accelerated Computing with Python 3 and CUDA listed on GlowMirror is a brand new book in good condition.
Can I get GPU-Accelerated Computing with Python 3 and CUDA delivered across India?
Yes, GlowMirror delivers GPU-Accelerated Computing with Python 3 and CUDA across India. Use the pincode checker on this page to verify delivery availability to your location.
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