An Introduction To High - Performance Scientific Computing

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High Performance Computing in Science and Engineering '14: Transactions of the High Performance Computing Center, Stuttgart (Hlrs) 2014

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High Performance Computing in Science and Engineering 16: Transactions of the High Performance Computing Center, Stuttgart (Hlrs) 2016

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High-Performance Scientific Computing: First Jara-HPC Symposium, Jhpcs 2016, Aachen, Germany, October 4-5, 2016, Revised Selected Papers

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Big Data & High Performance Computing

Książki Obcojęzyczne>Angielskie>Technology, engineering, agriculture>Civil engineering, surveying & building

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Numerical Simulation in Science and Engineering Friedrich Vieweg & Sohn Verlagsgesellschaft mbH

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Founded in April, 1992 and financed by the State of Bavaria and the Bavarian Re search Foundation, the Bavarian Consortium for High Performance Scientific Comput ing (FORTWIHR) consists of more than 40 scientists working in the fields of engineer ing sciences, applied mathematics, and computer science at the Technische Universitat Munchen and at the Friedrich-Alexander-Universitat Erlangen-Nurnberg. Its inter disciplinary concept is based on the recognition that the increasing significance of the yet young discipline High Performance Scientific Computing (HPSC) can only be given due consideration if the technical knowledge of the engineer, the numerical methods of the mathematician, and the computers and up to date methods of computer science are all applied equally. Besides the aim to introduce HPSC into the graduate degree program at the universi ties, there is a strong emphasis on cooperation with industry in all areas of research. Direct cooperation and a transfer of knowledge through training courses and confer ences take place in order to ensure the rapid utilization of all results of research. In this spirit, FORTWIHR annually organizes symposiums on High Performance Scientific Computing and Numerical Simulation in Science and Engineering.

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Mathematical Modelling and Computing in Physics, Chemistry and Biology Springer, Berlin

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This book  keeps an eye in the direction of applications of advanced and high performance scientific computing in  describing the behavior of natural and constructed systems, e.g. chaos, bifurcation, fractal, Lyapunov exponent, period doubling, Poincaré map, strange attractor etc. With the aid of powerful computers the modem theory of chaos and its geometry, the fractals, and attractors are developed. The concepts of object oriented computing are introduced early in the text and steadily expanded as one progresses through the chapters. The beginning of each chapter is of an introductory nature, followed by practical applications, the discussion of numerical results, theoretical investigations on nonlinear stability and convergence.This is the first complete introduction to process modeling and computing that fully integrates software tools - enabling professionals and students to master critical techniques hands on through computer simulations based on the popular MATLAB environment. The book offers a simple tool for all those oscillations that are travelling through the world, helping them discover its hidden beauty.Many applications as well as results of computer simulations are presented. The center of concern is set on existing as well as emerging continuous methods of investigations useful for researchers, engineers and practitioners active in many and often interdisciplinary fields, where physics, electrochemistry, biology and medicine play a key role. Coverage includes:- Dynamic behavior of nonlinear systems,- Fundamental descriptions of processes exhibiting nonlinear oscillations,- Mechanism and function of structures of nonlinear oscillations' patterns,- Analysis of dynamical oscillations in electric circuits and systems,- Artificial intelligence models of natural systems- Nonlinear oscillations in chemistry, biology and medicine,- Oscillations in mechanics and transport systems,- Oscillations in fractional-order systems,- Energy harvesting systems from the surrounding environment.With an insatiable appetite for exploring the surrounding world and doing research, this book can help readers quickly find ways to use new computers and facilitate the quest for greater knowledge and understanding of reality. The reach of novelty of the book ranges from new mathematical ideas to motivating questions and science issues in many subject areas

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High Performance, Low Complexity Multiuser Detection For Wireless Communications

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High Performance Memories - New Architecture DRAMs & SRAMs - Evolution & Function Rev John Wiley & Sons Inc

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High Performance Memories New architecture DRAMs and SRAMs evolution and function Revised Edition Betty Prince Memory Strategies International, Leander, Texas, USA Now presenting extra product specific material on the new DDR SDRAMs, ESDRAMs and DDR ESDRAMs, Direct Rambus DRAMs, SLDRAM, VCDRAM, SGRAM and DDR SGRAM, and DP-DRAM. Fully updated to incorporate the latest industry achievements in this fast-moving field, High Performance Memories, Revised provides an overview of the issues involved in advanced memory design. Drawing on her work at the cutting edge of memory technology, Prince surveys the latest trends in development and assesses the range of memory devices and systems available.New features include: Examination of the latest DRAMs standards Discussion of electrical characteristics of high speed memories including SSTL interfaces and techniques in the testing of fast RAMS Coverage of the effect of packaging on memory speed, encompassing DDR DRAM, DR-DRAM and SLDRAM Written by an internationally respected author, this comprehensively revised edition will be a boon to practising engineers involved in the design and manufacture of high speed systems and semiconductor memories. Advanced students of electrical engineering and researchers in computing and telecommunications will find High Performance Memories, Revised an invaluable reference.

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Primer on Scientific Programming with Python Springer-Verlag Berlin and Heidelberg GmbH & Co....

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The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.§§From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. §§F. H. Wild III, Choice, Vol. 47 (8), April 2010§§Those of us who have learned scientific programming in Python 'on the streets' could be a little jealous of students who have the opportunity to take a course out of Langtangen's Primer."§ John D. Cook, The Mathematical Association of America, September 2011§§This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.§ Alex Small, IEEE, CiSE Vol. 14 (2), March _ /April 2012 §§"This fourth edition is a§wonderful, inclusive textbook that covers pretty much everything one needs to§know to go from zero to fairly sophisticated scientific programming in Python..."§Joan Horvath, Computing Reviews, March§2015 §§

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Primer for Financial Engineering Elsevier Books

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This book attempts to bridge the fields of finance, mathematical finance and engineering, and is suitable for engineers and computer scientists who are looking to apply engineering principles to financial markets. The book builds from the fundamentals, with the help of simple examples, clearly explaining the concepts to the level needed by an engineer, while showing their practical significance. Topics covered include an in depth examination of market microstructure and trading, a detailed explanation of High Frequency Trading and the 2010 Flash Crash, risk analysis and management, popular trading strategies and their characteristics, and High Performance DSP and Financial Computing. The book has many examples to explain financial concepts, and the presentation is enhanced with the visual representation of relevant market data. It provides relevant MATLAB codes for readers to further their study. * Provides engineering perspective to financial problems* In depth coverage of market microstructure* Detailed explanation of High Frequency Trading and 2010 Flash Crash* Explores risk analysis and management* Covers high performance DSP & financial computing

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Software Automatic Tuning Springer-Verlag New York Inc.

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Automatic Performance Tuning is a new software paradigm which enables software to be high performance in any computing environment. Its methodologies have been developed over the past decade, and it is now rapidly growing in terms of its scope and applicability, as well as in its scientific knowledge and technological methods. Software developers and researchers in the area of scientific and technical computing, high performance database systems, optimized compilers, high performance systems software, and low-power computing will find this book to be an invaluable reference to this powerful new paradigm.

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Application of MATLAB and SIMULINK Modeling for Beginners LAP Lambert Academic Publishing

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Design engineers, inventors, developers, innovators, engineering students, science students and all those interested in design, simulation and modeling require comprehensive tutorial information on writing and efficient use of MATLAB/SIMULINK software to solve various technical computing problems encountered daily. This book is intended to meet this need in the areas of programming, simulation and modeling. MATLAB is a high performance language for visualizations and programming in an easy to use environment where problems and solutions are expressed in familiar mathematical notations. MATLAB is used in: Mathematics and Computation; Algorithmic Development; Data Acquisition; Modeling, Simulation and Prototyping; Data analysis, exploration and visualization; Scientific and Engineering Graphics application development & GUI building. This is an introductory course suitable for those with no experience at all with MATLAB/SIMULINK. It is written in a self-contained way; if you go through the notes, all the new commands and ideas are explained as they are introduced.

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CUDA Fortran for Scientists and Engineers Elsevier Science & Technology

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CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance. All of this is done in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison. You can leverage the power of GPU computing with PGI's CUDA Fortran compiler. You can gain insights from members of the CUDA Fortran language development team. It includes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approaches.It includes full source code for all the examples and several case studies. You can download source code and slides from the book's companion website.

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Intelligent System Design Springer, Berlin

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This book presents a collection of high-quality, peer-reviewed research papers from the 7th International Conference on Information System Design and Intelligent Applications (India 2022), held at BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India, from February 25 to 26, 2022. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing and cognitive computing.

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