Introduction To Hpc With Mpi For Data Science

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.

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author

This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications.

Data Science and Engineering Volume 9: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the ninth volume of nine from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on: Data Science in Engineering Applications Engineering Mathematics Computational Methods in Engineering

This Festschrift, dedicated to Reiner Hähnle on the occasion of his 60th birthday, contains papers written by many of his closest collaborators. After positions at Karlsruhe Institute of Technology and Chalmers University of Technology, since 2011 Reiner has been the chaired professor of Software Engineering at Technische Universität Darmstadt, where his team focuses on the formal verification of object-oriented software, the formal modeling and specification of highly adaptive software systems, and formal modeling and analysis in domains such as biological systems and railroad operations. His work is characterized by achievements in theory and in practical implementations, significant collaborations include the KeY project and the development of the ABS language. He has served as chair and editor of important related academic conferences, and coauthored almost 200 academic publications. The contributions in this volume reflect Reiner’s main research focus: formal methods, in particular applied to software verification.

This is an open access book. MEST2022 invites all potential authors from universities and various organisations to submit papers in the area of mechanical, manufacturing, materials sciences and related interdisciplinary engineering fields. This conference is part of a conference program called International Summit on Science Technology and Humanity (ISETH) 2022 Organized by Universitas Muhammadiyah Surakarta. The 6th Mechanical Engineering, Science and Technology (MEST2022) International conference is an annual the Mechanical Department of Universitas Muhammadiyah Surakarta event. All possible writers from universities and other organizations are invited to submit papers. The conference is a forum for academic exchange that provides a prompt presentation of articles on experimental, numerical, and theoretical studies that shed light on the critical topics of mechanical, thermal, fluid, and aerothermodynamics internal flow, heat and mass transfer, multiphase flow, turbulence modelling, combustion, engineering thermodynamics, thermophysical properties of matter, measurement, and visualization techniques. Contributions range from intriguing and significant research immediately applicable to industry development or practice to high-level student textbooks, explanations, distribution of technology, and good practice.

This paper explores the broad spectrum of commercial engagement by Rwandan farmers by grouping farmers according to characteristics of the head of household, the degree of commercialization of their farms, size of livestock holdings and other factors. We use statistical methodologies, including factor and cluster analysis, combined with existing knowledge of the agricultural sector to define five types of Rwandan farmers, separated into two broad groups. The first group (Group A) includes three types broadly classified as less wealthy, less commercialized, with a net negative gross margin. Within this group the three types of farmers include: Type 1—Less commercialized older male headed households with larger families, Type 2—Better educated, youth headed households, who are more market oriented but have smaller land holdings, Type 3—Older female headed households who produce relatively lower agricultural production value relative to their assets owned. The second group (Group B) comprises two types of farmers. This group are wealthier, sell more crops with positive gross margins and larger landholdings. More specifically, farm type 4 is commercialized with higher access to agricultural extension services and inputs and farm type 5, also highly commercialized, but has significant livestock holdings as well. Taken together, these two groups, and five farm types, provide a framework to aid in understanding how commercialization takes place in smallholder Rwandan agriculture. This framework may also help in understanding how potential interventions would be received by various types of Rwanda farmers, thereby facilitating more efficient targeting of agricultural interventions.