Hans Joachim Bungartz Book order

The research and its outcomes presented in this collection focus on various aspects of high-performance computing (HPC) software and its development which is confronted with various challenges as today's supercomputer technology heads towards exascale computing. The individual chapters address one or more of the research directions (1) computational algorithms, (2) system software, (3) application software, (4) data management and exploration, (5) programming, and (6) software tools. The collection therebyhighlights pioneering research findings as well as innovative concepts in exascale software development that have been conducted under the umbrella of the priority programme „Software for Exascale Computing“ (SPPEXA) of the German Research Foundation (DFG) and that have been presented at the SPPEXA Symposium, Jan 25-27 2016, in Munich. The book has an interdisciplinary appeal: scholars from computational sub-fields in computer science, mathematics, physics, or engineering will find it of particular interest.

This book presents the latest findings and ongoing research in the field of environmental informatics. It addresses a wide range of cross-cutting activities such as recent advances in environmental informatics, Internet of Things technologies, challenges in ICT-technologies, disaster management, energy aware software-engineering and development, environmental health informatics, environmental information systems, machine learning, open science and sustainable mobility. The book contains selected short and work in progress papers of the 32nd International Conference EnviroInfo 2018 at the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities (LRZ) in Garching near Munich.

This book provides an introduction to mathematical and computer-oriented modeling and to simulation as a universal methodology. It therefore addresses various model classes and their derivations. And it demonstrates the diversity of approaches that can be taken: be it discrete or continuous, deterministic or stochastic. A common underlying theme throughout the book are the means in which one obtains practical simulation results from these different abstract models.   Subsequent to a brief review of the mathematical tools that are required, the concept of the simulation pipeline, "from model derivation to the simulation", is applied to 14 example scenarios from diverse fields such as "Game theory - deciding - planning", "Traffic on highways and data highways", "Dynamical systems" and "Physics in the computer".   Whether it is game theory or mathematical finance, traffic or control theory, population dynamics or chaos, or molecular dynamics, continuum mechanics or computer graphics - the reader gains insight into the world of simulation in a descriptive yet systematic way.

Since the creation of the term „Scientific Computing“ and of its German counterpart „Wissenschaftliches Rechnen“ (whoever has to be blamed for that), scientists from outside the field have been confused about the some what strange distinction between scientific and non-scientific computations. And the insiders, i. e. those who are, at least, convinced of always comput ing in a very scientific way, are far from being happy with this summary of their daily work, even if further characterizations like „High Performance“ or „Engineering“ try to make things clearer - usually with very modest suc cess, however. Moreover, to increase the unfortunate confusion of terms, who knows the differences between „Computational Science and Engineering“ , as indicated in the title of the series these proceedings were given the honour to be published in, and „Scientific and Engineering Computing“, as chosen for the title of our book? Actually, though the protagonists of scientific com puting persist in its independence as a scientific discipline (and rightly so, of course), the ideas behind the term diverge wildly. Consequently, the variety of answers one can get to the question „What is scientific computing?“ is really impressive and ranges from the (serious) „nothing else but numerical analysis“ up to the more mocking „consuming as much CPU-time as possible on the most powerful number crunchers accessible“ .