Introduction to HPC with MPI for Data Science

Introduction to HPC with MPI for Data Science

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.


Download Introduction to HPC with MPI for Data Science (9783319219028).pdf, available at greenaroundtheedges.net for free.

Details

Author(s)
Frank Nielsen
Format
Paperback | 282 pages
Dimensions
155 x 235 x 17.02mm | 4,803g
Publication date
11 Feb 2016
Publisher
Springer International Publishing AG
Publication City/Country
Cham, Switzerland
Language
English
Edition Statement
1st ed. 2016
Illustrations note
9 Tables, color; 6 Tables, black and white; 101 Illustrations, color; XXXIII, 282 p. 101 illus. in color.
ISBN10
3319219022
ISBN13
9783319219028
Bestsellers rank
2,991,435

Warning: fopen(/home/greenaroundtheedges.net/public_html/core/../sitemap_datas/auto/isbn_and_title_275.txt): failed to open stream: Permission denied in /home/greenaroundtheedges.net/public_html/core/krenabiz.php on line 0

Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/greenaroundtheedges.net/public_html/core/krenabiz.php on line 0

Warning: fclose() expects parameter 1 to be resource, boolean given in /home/greenaroundtheedges.net/public_html/core/krenabiz.php on line 0

Warning: touch(): Utime failed: Permission denied in /home/greenaroundtheedges.net/public_html/core/krenabiz.php on line 0