Parallel and High Performance Programming with Python : Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and Dask.
Language: English
Published by Orange Education Pvt Ltd, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 69.04
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - This book will teach you everything about the powerful techniques and applications of parallel computing, from the basics of parallel programming to the cutting-edge innovations shaping the future of computing. The book starts with an introduction to parallel programming and the different types of parallelism, including parallel programming with threads and processes. The book then delves into asynchronous programming, distributed Python, and GPU programming with Python, providing you with the tools you need to optimize your programs for distributed and high-performance computing. The book also covers a wide range of applications for parallel computing, including data science, artificial intelligence, and other complex scientific simulations. You will learn about the challenges and opportunities presented by parallel computing for these applications and how to overcome them. By the end of the book, you will have insights into the future of parallel computing, the latest research and developments in the field, and explore the exciting possibilities that lie ahead.TABLE OF CONTENTS 1. Introduction to Parallel Programming 2. Building Multithreaded Programs 3. Working with Multiprocessing and mpi4py Library4. Asynchronous Programming with AsyncIO5. Realizing Parallelism with Distributed Systems 6. Maximizing Performance with GPU Programming using CUDA7. Embracing the Parallel Computing Revolution8. Scaling Your Data Science Applications with Dask9. Exploring the Potential of AI with Parallel Computing10. Hands-on Applications of Parallel Computing.…
Seller Inventory # 9789388590730
- Title
- Parallel and High Performance Programming with Python : Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and Dask.
- Author
- Fabio Nelli
- Publisher
- Orange Education Pvt Ltd
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9388590732
- ISBN 13
- 9789388590730
- Item weight
- 733 grams
- Dimensions
- 235x191x22 mm
Unleash the capabilities of Python and its libraries for solving high performance computational problems.
Key Features
● Explores parallel programming concepts and techniques for high-performance computing.
● Covers parallel algorithms, multiprocessing, distributed computing, and GPU programming.
● Provides practical use of popular Python libraries/tools like NumPy, Pandas, Dask, and TensorFlow.
Book Description
This book will teach you everything about the powerful techniques and applications of parallel computing, from the basics of parallel programming to the cutting-edge innovations shaping the future of computing.
The book starts with an introduction to parallel programming and the different types of parallelism, including parallel programming with threads and processes. The book then delves into asynchronous programming, distributed Python, and GPU programming with Python, providing you with the tools you need to optimize your programs for distributed and high-performance computing.
The book also covers a wide range of applications for parallel computing, including data science, artificial intelligence, and other complex scientific simulations. You will learn about the challenges and opportunities presented by parallel computing for these applications and how to overcome them.
By the end of the book, you will have insights into the future of parallel computing, the latest research and developments in the field, and explore the exciting possibilities that lie ahead.
What you will learn
● Build faster, smarter, and more efficient applications for data analysis, machine learning, and scientific computing
● Implement parallel algorithms in Python
● Best practices for designing, implementing, and scaling parallel programs in Python
Who is this book for?
This book is aimed at software developers who wish to take their careers to the next level by improving their skills and learning about concurrent and parallel programming. It is also intended for Python developers who aspire to write fast and efficient programs, and for students who wish to learn the fundamentals of parallel computing and its practical uses.
Table of Contents
1. Introduction to Parallel Programming
2. Building Multithreaded Programs
3. Working with Multiprocessing and mpi4py Library
4. Asynchronous Programming with AsyncIO
5. Realizing Parallelism with Distributed Systems
6. Maximizing Performance with GPU Programming using CUDA
7. Embracing the Parallel Computing Revolution
8. Scaling Your Data Science Applications with Dask
9. Exploring the Potential of AI with Parallel Computing
10. Hands-on Applications of Parallel Computing
About the Author
Fabio Nelli holds a Master's Degree in Chemistry and a Bachelor's Degree in IT and Automation Engineering. He currently works at various research institutes and private companies, where he delivers educational courses on data analysis and data visualization technologies. He contributes to writing articles on the web and writes in-depth books on the subject.
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