Verfügbarkeit: Introduction to HPC with MPI for Data Science

Introduction to HPC with MPI for Data Science:

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Bibliographische Detailangaben
1. Verfasser:	Nielsen, Frank (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cham Springer International Publishing 2016
Ausgabe:	1st ed. 2016
Schriftenreihe:	Undergraduate Topics in Computer Science
Schlagworte:	Computer science Computer programming Programming Techniques Informatik Programmierung Hochleistungsrechnen
Online-Zugang:	BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FRO01 HTW01 UBG01 UBM01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Abstract Inhaltsverzeichnis
Beschreibung:	1 Online Ressource (XXXIII, 282 p. 101 illus. in color)
ISBN:	9783319219035
ISSN:	1863-7310
DOI:	10.1007/978-3-319-21903-5

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Datensatz im Suchindex

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adam_text	INTRODUCTION TO HPC WITH MPI FOR DATA SCIENCE / NIELSEN, FRANK : 2016 ABSTRACT / INHALTSTEXT 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. INTRODUCTION TO HPC WITH MPI FOR DATA SCIENCE / NIELSEN, FRANK : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS PREFACE PART 1: HIGH PERFORMANCE COMPUTING (HPC) WITH THE MESSAGE PASSING INTERFACE (MPI) A GLANCE AT HIGH PERFORMANCE COMPUTING (HPC) INTRODUCTION TO MPI: THE MESSAGE PASSING INTERFACE TOPOLOGY OF INTERCONNECTION NETWORKS PARALLEL SORTING PARALLEL LINEAR ALGEBRA.-THE MAPREDUCE PARADIGM PART 11: HIGH PERFORMANCE COMPUTING FOR DATA SCIENCE PARTITION-BASED CLUSTERING WITH K MEANS HIERARCHICAL CLUSTERING SUPERVISED LEARNING: PRACTICE AND THEORY OF CLASSIFICATION WITH K NN RULE FAST APPROXIMATE OPTIMIZATION TO HIGH DIMENSIONS WITH CORE-SETS AND FAST DIMENSION REDUCTION PARALLEL ALGORITHMS FOR GRAPHS APPENDIX A: WRITTEN EXAM APPENDIX B: SLURM: A RESOURCE MANAGER AND JOB SCHEDULER ON CLUSTERS OF MACHINES APPENDIX C: LIST OF FIGURES APPENDIX D: LIST OF TABLES APPENDIX E: INDEX DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spelling	Nielsen, Frank Verfasser (DE-588)1078244065 aut Introduction to HPC with MPI for Data Science by Frank Nielsen 1st ed. 2016 Cham Springer International Publishing 2016 1 Online Ressource (XXXIII, 282 p. 101 illus. in color) txt rdacontent c rdamedia cr rdacarrier Undergraduate Topics in Computer Science 1863-7310 Computer science Computer programming Programming Techniques Informatik Informatik (DE-588)4026894-9 gnd rswk-swf Programmierung (DE-588)4076370-5 gnd rswk-swf Hochleistungsrechnen (DE-588)4532701-4 gnd rswk-swf Hochleistungsrechnen (DE-588)4532701-4 s Informatik (DE-588)4026894-9 s Programmierung (DE-588)4076370-5 s DE-604 Erscheint auch als Druckausgabe 978-3-319-21902-8 https://doi.org/10.1007/978-3-319-21903-5 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840988&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Abstract Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840988&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Nielsen, Frank Introduction to HPC with MPI for Data Science Computer science Computer programming Programming Techniques Informatik Informatik (DE-588)4026894-9 gnd Programmierung (DE-588)4076370-5 gnd Hochleistungsrechnen (DE-588)4532701-4 gnd
subject_GND	(DE-588)4026894-9 (DE-588)4076370-5 (DE-588)4532701-4
title	Introduction to HPC with MPI for Data Science
title_auth	Introduction to HPC with MPI for Data Science
title_exact_search	Introduction to HPC with MPI for Data Science
title_full	Introduction to HPC with MPI for Data Science by Frank Nielsen
title_fullStr	Introduction to HPC with MPI for Data Science by Frank Nielsen
title_full_unstemmed	Introduction to HPC with MPI for Data Science by Frank Nielsen
title_short	Introduction to HPC with MPI for Data Science
title_sort	introduction to hpc with mpi for data science
topic	Computer science Computer programming Programming Techniques Informatik Informatik (DE-588)4026894-9 gnd Programmierung (DE-588)4076370-5 gnd Hochleistungsrechnen (DE-588)4532701-4 gnd
topic_facet	Computer science Computer programming Programming Techniques Informatik Programmierung Hochleistungsrechnen
url	https://doi.org/10.1007/978-3-319-21903-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840988&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840988&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT nielsenfrank introductiontohpcwithmpifordatascience

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