Packt Publishing
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
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
- ·In-depth exploration of topics covered in GPU-Accelerated Computing with Python 3 and CUDA
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Packt Publishing
Who Should Read This
Students and professionals interested in Packt Publishing, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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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 Packt Publishing. 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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