Can I read Introduction to HPC with MPI for Data Science (Undergraduate Topics in Computer Science) on EtoBox?

Introduction to HPC with MPI for Data Science (Undergraduate Topics in Computer Science) by Frank Nielsen (auth.) is a nonfiction available to read on EtoBox.

What is Introduction to HPC with MPI for Data Science (Undergraduate Topics in Computer Science) about?

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 h

Who reads Introduction to HPC with MPI for Data Science (Undergraduate Topics in Computer Science)?

Author

Frank Nielsen (auth.)

Publisher

Springer International Publishing : Imprint : Springer

Published

2016

Language

EN

ISBN

9783319219035

Category

nonfiction

Subjects

Computer Science, Mathematics, Programming