How Long to Read Distributed Graph Analytics

How Long Does it Take to Read Distributed Graph Analytics?

It takes the average reader 3 hours and 32 minutes to read Distributed Graph Analytics by Unnikrishnan Cheramangalath

Assuming a reading speed of 250 words per minute. Learn more

Description

This book brings together two important trends: graph algorithms and high-performance computing. Efficient and scalable execution of graph processing applications in data or network analysis requires innovations at multiple levels: algorithms, associated data structures, their implementation and tuning to a particular hardware. Further, programming languages and the associated compilers play a crucial role when it comes to automating efficient code generation for various architectures. This book discusses the essentials of all these aspects. The book is divided into three parts: programming, languages, and their compilation. The first part examines the manual parallelization of graph algorithms, revealing various parallelization patterns encountered, especially when dealing with graphs. The second part uses these patterns to provide language constructs that allow a graph algorithm to be specified. Programmers can work with these language constructs without worrying about their implementation, which is the focus of the third part. Implementation is handled by a compiler, which can specialize code generation for a backend device. The book also includes suggestive results on different platforms, which illustrate and justify the theory and practice covered. Together, the three parts provide the essential ingredients for creating a high-performance graph application. The book ends with a section on future directions, which offers several pointers to promising topics for future research. This book is intended for new researchers as well as graduate and advanced undergraduate students. Most of the chapters can be read independently by those familiar with the basics of parallel programming and graph algorithms. However, to make the material more accessible, the book includes a brief background on elementary graph algorithms, parallel computing and GPUs. Moreover it presents a case study using Falcon, a domain-specific language for graph algorithms, to illustrate the concepts.

How long is Distributed Graph Analytics?

Distributed Graph Analytics by Unnikrishnan Cheramangalath is 207 pages long, and a total of 53,199 words.

This makes it 70% the length of the average book. It also has 65% more words than the average book.

How Long Does it Take to Read Distributed Graph Analytics Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 50 minutes to read Distributed Graph Analytics aloud.

What Reading Level is Distributed Graph Analytics?

Distributed Graph Analytics is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Distributed Graph Analytics?

Distributed Graph Analytics by Unnikrishnan Cheramangalath is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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