Buch
Introduction to HPC with MPI for Data Science
Frank Nielsen
42,79
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Undergraduate Topics in Computer Science |
Sprache | : | Englisch |
Erschienen | : | 11. 02. 2016 |
Seiten | : | 282 |
Einband | : | Kartoniert |
Höhe | : | 235 mm |
Breite | : | 155 mm |
Gewicht | : | 486 g |
ISBN | : | 9783319219028 |
Sprache | : | Englisch |
Autorinformation
Frank Nielsen is a Professor at École Polytechnique in France where he teaches graduate (vision/graphics) and undergraduate (Java/algorithms),and a senior researcher at Sony Computer Science Laboratories Inc. His research includes Computational information geometry for imaging and learning and he is the author of 3 textbooks and 3 edited books. He is also on the Editorial Board for the Springer Journal of Mathematical Imaging and Vision.
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.