How Long to Read Introduction to HPC with MPI for Data Science

How Long Does it Take to Read Introduction to HPC with MPI for Data Science?

It takes the average reader 5 hours and 8 minutes to read Introduction to HPC with MPI for Data Science by Frank Nielsen

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

Description

This gentle introduction to High Performance Computing (HPC) for Data Science using the Message Passing Interface (MPI) standard has been designed as a first course for undergraduates on parallel programming on distributed memory models, and requires only basic programming notions. Divided into two parts the first part covers high performance computing using C++ with the Message Passing Interface (MPI) standard followed by a second part providing high-performance data analytics on computer clusters. In the first part, the fundamental notions of blocking versus non-blocking point-to-point communications, global communications (like broadcast or scatter) and collaborative computations (reduce), with Amdalh and Gustafson speed-up laws are described before addressing parallel sorting and parallel linear algebra on computer clusters. The common ring, torus and hypercube topologies of clusters are then explained and global communication procedures on these topologies are studied. This first part closes with the MapReduce (MR) model of computation well-suited to processing big data using the MPI framework. In the second part, the book focuses on high-performance data analytics. Flat and hierarchical clustering algorithms are introduced for data exploration along with how to program these algorithms on computer clusters, followed by machine learning classification, and an introduction to graph analytics. This part closes with a concise introduction to data core-sets that let big data problems be amenable to tiny data problems. Exercises are included at the end of each chapter in order for students to practice the concepts learned, and a final section contains an overall exam which allows them to evaluate how well they have assimilated the material covered in the book.

How long is Introduction to HPC with MPI for Data Science?

Introduction to HPC with MPI for Data Science by Frank Nielsen is 304 pages long, and a total of 77,216 words.

This makes it 103% the length of the average book. It also has 94% more words than the average book.

How Long Does it Take to Read Introduction to HPC with MPI for Data Science Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 1 minute to read Introduction to HPC with MPI for Data Science aloud.

What Reading Level is Introduction to HPC with MPI for Data Science?

Introduction to HPC with MPI for Data Science 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 Introduction to HPC with MPI for Data Science?

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