By Frank Nielsen
ISBN-10: 3319219022
ISBN-13: 9783319219028
This mild advent to excessive functionality Computing (HPC) for Data
technological know-how utilizing the Message Passing Interface (MPI) regular has been
designed as a primary direction for undergraduates on parallel programming on
disbursed reminiscence types, and calls for in basic terms simple programming notions.
Divided
into elements the 1st half covers excessive functionality computing utilizing
C++ with the Message Passing Interface (MPI) common by means of a
second half offering high-performance facts analytics on laptop
clusters.
In the 1st half, the elemental notions of blocking off
versus non-blocking point-to-point communications, worldwide communications
(like broadcast or scatter) and collaborative computations (reduce),
with Amdalh and Gustafson speed-up legislation are defined ahead of addressing
parallel sorting and parallel linear algebra on desktop clusters. The
common ring, torus and hypercube topologies of clusters are then
explained and international conversation techniques on those topologies are
studied. this primary half closes with the MapReduce (MR) version of
computation well-suited to processing giant information utilizing the MPI framework.
In
the second one half, the booklet makes a speciality of high-performance info analytics.
Flat and hierarchical clustering algorithms are brought for facts
exploration in addition to the right way to application those algorithms on machine
clusters, by means of laptop studying class, and an
introduction to graph analytics. This half closes with a concise
introduction to info core-sets that allow vast facts difficulties be amenable to
tiny facts problems.
Exercises are incorporated on the finish of every
chapter to ensure that scholars to perform the options discovered, and a
final part comprises an total examination which permits them to guage how
good they've got assimilated the fabric coated within the book.
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Introduction to HPC with MPI for Data Science (Undergraduate Topics in Computer Science) by Frank Nielsen
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