Introduction to HPC with MPI for Data Science / (Record no. 11433)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02533nam a22002417a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9828 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BhIIT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20201223121850.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 201223b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319219028 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IN-BhIIT |
| 041 ## - LANGUAGE CODE | |
| Language code of text | eng |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.11 |
| Book number | NIE/I |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Nielsen, Frank. |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Introduction to HPC with MPI for Data Science / |
| Statement of responsibility, etc | by Frank Nielsen. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Switzerland : |
| Name of publisher | Springer, |
| Year of publication | 2016. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource, XXXIII, 282 p. : |
| Other physical details(ill.) | ages 101 illustrations in color . ; |
| Dimensions(size) | 24 cm. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Undergraduate Topics in Computer Science, |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer programming. |
| Topical Term | Programming Techniques. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Technical Reference Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Not withdrawn | Not Lost | not damaged | SES | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 23/12/2020 | 005.11 NIE/I | 9828 | 23/12/2020 | Technical Reference Book |