{ "item_title" : "Introduction to HPC with Mpi for Data Science", "item_author" : [" Frank Nielsen "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/31/921/902/3319219022_b.jpg", "price_data" : { "retail_price" : "49.99", "online_price" : "49.99", "our_price" : "49.99", "club_price" : "49.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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