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13589712
Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition
90% of respondents would recommend this to a friend
Nº de artículo:
13589712
COP 152298
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What Stands Out
High Performance
Unlock the full potential of Julia 1.0 and beyond, enabling users to achieve high-performance computing with its advanced optimization techniques tailored for complex computational tasks.
Distributed Computing
Easily harness the power of distributed systems. This edition provides in-depth guidance on implementing Julia in multi-node environments, addressing scalability challenges faced by modern applications.
GPU Programming
Leverage GPU capabilities with practical examples. The book dives into GPU programming, emphasizing speed and efficiency, making it an essential resource for developers aiming to enhance computational performance.
Detalles de producto
- Develop high-performance programs in Julia 1.0 and beyond
- Learn characteristics of high-performance Julia code
- Utilize GPU for efficient numerical code
- Speed up computation with shared memory multithreading
- Understand Julia's distributed computing capabilities
- Suitable for beginners and intermediate Julia programmers
| Publisher | Packt Publishing |
| Publication date | June 10, 2019 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 218 pages |
| ISBN-10 | 178829811X |
| ISBN-13 | 978-1788298117 |
| Item Weight | 13.4 ounces (379.89 grams) |
| Dimensions | 7.5 x 0.5 x 9.25 inches (19.1 x 1.3 x 23.5 cm) |
Who Should Buy?
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Data Scientists
Ideal for data scientists seeking to harness high performance computing for large datasets using Julia programming.
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Software Developers
Perfect for developers looking to optimize applications and leverage GPU programming for enhanced performance.
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Academics & Researchers
Beneficial for academics needing advanced techniques in distributed computing for computational research projects.
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Beginners in Programming
Not suitable for beginners who have little to no programming experience or knowledge of Julia.
DESCRIPCIÓN DEL PRODUCTO
Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition
About This Item
Introducing the Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition! Are you new to Julia and wondering what sets it apart and how it achieves remarkable performance? Look no further than the Julia High Performance book by Avik Sengupta. This comprehensive guide provides the answers you seek, enabling you to harness the power of Julia for optimal results. Avik Sengupta presents a concise and easy-to-follow set of chapters, filled with words like "performance" and "fast," showcasing the speed and simplicity of using Julia. With real-world examples that you can execute yourself, you'll quickly grasp the capabilities of this remarkable language. Get ready to delve into the world of Julia with Avik's guidance.
Learn about essential Julia concepts such as "JIT," "Multiple Dispatch," "type system," "generated functions," "CUDA," and "SIMD." By understanding Julia's design and mastering performance measurement, you'll gain a deep appreciation for its type system and unlock the potential of arrays, fast function calls, and efficient number handling. But it doesn't stop there. Julia High Performance also equips you with the knowledge to write parallel Julia programs, enabling you to leverage the full power of your hardware resources. Take your skills to the next level and be part of the vibrant and rapidly growing online community of Julia programmers. Behind this exceptional book is Avik Sengupta, Vice President of engineering at Julia Computing, a distinguished contributor to open-source Julia, and the maintainer of several Julia packages.
Avik's professional experience spans startups in the financial services and AI sectors, where he has developed complex trading systems for leading investment banks. With his expertise, Avik brings real-world perspective and practical insights to the table. Whether you're pursuing Julia for machine learning, big data analytics, parallel computing, high-performance algorithms, cluster computing, data analysis, data science, numerical computing, or GPU programming, Julia High Performance is the guide to propel your skills to new heights. Gain an understanding of the Julia programming language, its software development practices, cloud computing capabilities, and scientific computing applications.
Master statistical computing, optimize your Julia code, and explore data visualization possibilities. Join Alan Edelman, professor of Applied Mathematics, Computer Science, and AI Labs at MIT, in embracing the Julia language. With this transformative book, you'll acquire the essential knowledge, skills, and confidence to become a proficient Julia programmer. Welcome to the world of Julia. By reading Julia High Performance, you'll soon become a valuable member of our growing community, passionate about the possibilities that Julia unlocks.
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AI & Machine Learning Editorial Review
The "Julia High Performance: Optimizations, Distributed Computing, Multithreading, and GPU Programming with Julia 1.0 and Beyond, 2nd Edition" has received a largely positive reception from users who appreciate its in-depth approach to performance optimization in Julia programming. Unlike more generic resources, this book dives into specific techniques that enhance the speed of Julia code, making it particularly valuable for those looking to harness the language's capabilities effectively. Readers have highlighted the book's practical examples that illustrate how to optimize code, addressing fundamental concepts often overlooked in introductory tutorials. This focus not only aids comprehension but also empowers users to implement performance enhancements ranging from type stability and memory allocation to various parallel processing methods, including SIMD, GPU programming, and multithreading. Furthermore, the book's accessible writing style appeals to a broad audience, including non-native English speakers, making the technical content easier to digest. While some may note its age, most agree that the information remains relevant and useful for current Julia development, validating its importance as a resource for both new and experienced programmers. **
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ventajas
- In-depth focus on optimizing Julia performance.
- Rich with practical examples and real-world applications.
- Covers a wide range of optimization techniques including profiling, type stability, and parallel processing.
- Accessible writing style, suited for non-native English speakers.
- Relevant content that continues to aid in understanding Julia programming.
Contras
- Some readers may find the book dated.
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COP 152298
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características y beneficios
- Julia High Performance book is a concise guide to understand Julia's design, measure performance and learn to write parallel programs.
- Easy-to-read concise chapters focus on Julia's high speed and easy usability with practical examples.
- You will appreciate Julia's type system during the learning process.
- There are computer science words that have become Julia words, easy to follow and learn.
- Written by Avik Sengupta, Vice President of engineering at Julia Computing and contributor to open source Julia.
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