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High Performance Computing in the Geosciences by F.X. le Dimet Pdf
High Performance Computing in the Geosciences surveys the state of the art of programs presently being developed which require high performance computing for their implementation, provides a guide for decision making in regard to computing directions in future numerical models, and provides an overview of future developments in massively parallel processing and their implications for numerical modelling in the geosciences.
High Performance Computing for Geospatial Applications by Wenwu Tang,Shaowen Wang Pdf
This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications. With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems. Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC. Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study. The book begins by discussing theoretical aspects and methodological uses of HPC within a geospatial context, including parallel algorithms, geospatial data handling, spatial analysis and modeling, and cartography and geovisualization. Then, specific domain applications of HPC are addressed in the contexts of earth science, land use and land cover change, urban studies, transportation studies, and social science. The book will be of interest to scientists and engineers who are interested in applying cutting-edge HPC technologies in their respective fields, as well as students and faculty engaged in geography, environmental science, social science, and computer science.
Tools and Techniques for High Performance Computing by Guido Juckeland,Sunita Chandrasekaran Pdf
This book constitutes the refereed proceedings of 3 workshops co-located with International Conference for High Performance Computing, Networking, Storage, and Analysis, SC19, held in Denver, CO, USA, in November 2019. The 12 full papers presented in this proceedings feature the outcome of the 6th Annual Workshop on HPC User Support Tools, HUST 2019, International Workshop on Software Engineering for HPC-Enabled Research, SE-HER 2019, and Third Workshop on Interactive High-Performance Computing, WIHPC 2019.
High Performance Computing and Artificial Intelligence for Geosciences by Yuzhu Wang,Jinrong Jiang,Yangang Wang Pdf
In total, this Special Issue includes 11 papers. Firstly, Qi et al. conducted research on the large-scale non-uniform parallel solution of the two-dimensional Saint-Venant equations for flood behavior modeling. Zhang et al. proposed an efficient deep learning-based mineral identification method. Subsequently, Huang et al. proposed a named entity recognition method for geological news based on BERT model. Yang et al. proposed an automatic landslide identification method to solve the problem of the time-consuming nature and low efficiency of traditional landslide identification methods. Du et al. analyzed the potential of unsupervised machine learning methods for submarine landslide prediction. Wang et al. performed parallel computations on the inversion algorithm of the two-dimensional ZTEM. Xu et al. used the sliding window method and gray relational analysis to extract features from multi-source real-time monitoring data of landslides. Furthermore, Cao et al. proposed a new method called dual encoder transform (DualET) for the short-term prediction of photovoltaic power. Hao et al. conducted a series of parallel optimizations and large-scale parallel simulations on the high-resolution ocean model. Wang et al. proposed a time series prediction model for landslide displacements using mean-based low-rank autoregressive tensor completion. Finally, Yang et al. developed a measure of site-level gross primary productivity (GPP) using the GeoMAN model.
NASA High Performance Computing and Communications Program by United States. Office of Aeronautics. High Performance Computing and Communications Office,Lee Holcomb Pdf
Integrated Information and Computing Systems for Natural, Spatial, and Social Sciences by Rückemann, Claus-Peter Pdf
The 21st century has seen a number of advancements in technology, including the use of high performance computing. Computing resources are being used by the science and economy fields for data processing, simulation, and modeling. These innovations aid in the support of production, logistics, and mobility processes. Integrated Information and Computing Systems for Natural, Spatial, and Social Sciences covers a carefully selected spectrum of the most up to date issues, revealing the benefits, dynamism, potential, and challenges of information and computing system application scenarios and components from a wide spectrum of prominent disciplines. This comprehensive collection offers important guidance on the development stage of the universal solution to information and computing systems for researchers as well as industry decision makers and developers.
High Performance Computing and Communications by United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Science Pdf
High Performance Computing by Gonzalo Hernandez,Carlos Jaime Barrios Hernandez,Gilberto Díaz,Carlos García Garino,Sergio Nesmachnow,Tomas Pérez-Acle,Mario Storti,Mariano Vázquez Pdf
This book constitutes the refereed proceedings of the First HPCLATAM - CLCAR Joint Latin American High Performance Computing Conference, CARLA 2014, held in Valparaiso, Chile, in October 2014. The 17 revised full papers and the one paper presented were carefully reviewed and selected from 42 submissions. The papers are organized in topical sections on grid and cloud computing; HPC architectures and tools; parallel programming; scientific computing.
High Performance Computing in Remote Sensing by Antonio J. Plaza,Chein-I Chang Pdf
Solutions for Time-Critical Remote Sensing Applications The recent use of latest-generation sensors in airborne and satellite platforms is producing a nearly continual stream of high-dimensional data, which, in turn, is creating new processing challenges. To address the computational requirements of time-critical applications, researchers
High Performance Computing and Communications by Michael Gerndt,Dieter Kranzlmüller Pdf
This book constitutes the refereed proceedings of the Second International Conference on High Performance Computing and Communications, HPCC 2006. The book presents 95 revised full papers, addressing all current issues of parallel and distributed systems and high performance computing and communication. Coverage includes networking protocols, routing, and algorithms, languages and compilers for HPC, parallel and distributed architectures and algorithms, wireless, mobile and pervasive computing, Web services, peer-to-peer computing, and more.
High Performance Computing for Computational Science - VECPAR 2008 by José M. Laginha M. Palma,Patrick Amestoy,Marta Mattoso,Michel Daydé,Joao Correira Lopes Pdf
This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on High Performance Computing for Computational Science, VECPAR 2008, held in Toulouse, France, in June 2008. The 51 revised full papers presented together with the abstract of a surveying and look-ahead talk were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on parallel and distributed computing, cluster and grid computing, problem solving environment and data centric, numerical methods, linear algebra, computing in geosciences and biosciences, imaging and graphics, computing for aerospace and engineering, and high-performance data management in grid environments.
Use of High Performance Computing in Meteorology by Walter Zwieflhofer,George Mozdzynski Pdf
Geosciences and, in particular, numerical weather prediction are demanding the highest levels of available computer power. The European Centre for Medium-Range Weather Forecasts, with its experience in using supercomputers in this field, organizes every other year a workshop bringing together manufacturers, computer scientists, researchers and operational users to share their experiences and to learn about the latest developments. This volume provides an excellent overview of the latest achievements and plans for the use of new parallel techniques in the fields of meteorology, climatology and oceanography. Contents:Early Experiences with the New IBM P690+ at ECMWF (D Salmond & S Saarinen)Operation Status of the Earth Simulator (A Uno)Intel Architecture Based High-Performance Computing Technologies (H Cornelius)4D-Var: Optimisation and Performance on the NEC SX-6 (S Oxley)Establishment of an Efficient Managing System for NWP Operation in CMA (J-K Hu & W-H Shen)The Next-Generation Supercomputer and NWP System of the JMA (M Narita)A Uniform Memory Model for Distributed Data Objects on Parallel Architectures (V Balaji & R W Numrich)and other papers Readership: Academics and researchers specializing in high performance computing, especially meteorological scientists, and supercomputer manufacturers. Keywords:High Performance Computing;Meteorology;Teracomputing;Parallel Processing;Climatology
High Performance Computing and the Discrete Element Model by Gao-Feng Zhao Pdf
This book addresses the high performance computing of the Discrete Element Model (DEM). It is a comprehensive presentation of parallel implementation of the DEM on three popular parallel computing platforms; the multi-core PC, the GPU computer, and the cluster supercomputer. Featuring accompanying MatLab source this book helps you implement the DEM model for use with high performing technology, for particular implementation of the dynamic failure of solids, granular flow and stress wave propagation through solids. Features both Pre-processor, Solver, and Post-processor for the DEM Covers the parallel implementation of DEM on the cluster, multi-core PC, GPU PC Full of examples of dynamic fracturing, granular flow and stress wave propagation using high performance DEM Source codes and data files available for hands-on practice
