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This open access book summarizes the research done and results
obtained in the second funding phase of the Priority Program 1648
"Software for Exascale Computing" (SPPEXA) of the German Research
Foundation (DFG) presented at the SPPEXA Symposium in Dresden
during October 21-23, 2019. In that respect, it both represents a
continuation of Vol. 113 in Springer's series Lecture Notes in
Computational Science and Engineering, the corresponding report of
SPPEXA's first funding phase, and provides an overview of SPPEXA's
contributions towards exascale computing in today's sumpercomputer
technology. 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 book has
an interdisciplinary appeal: scholars from computational sub-fields
in computer science, mathematics, physics, or engineering will find
it of particular interest.
Sparse grids are a popular tool for the numerical treatment of
high-dimensional problems. Where classical numerical discretization
schemes fail in more than three or four dimensions, sparse grids,
in their different flavors, are frequently the method of choice.
This volume of LNCSE presents selected papers from the proceedings
of the fifth workshop on sparse grids and applications, and
demonstrates once again the importance of this numerical
discretization scheme. The articles present recent advances in the
numerical analysis of sparse grids in connection with a range of
applications including uncertainty quantification, plasma physics
simulations, and computational chemistry, to name but a few.
This open access book summarizes the research done and results
obtained in the second funding phase of the Priority Program 1648
"Software for Exascale Computing" (SPPEXA) of the German Research
Foundation (DFG) presented at the SPPEXA Symposium in Dresden
during October 21-23, 2019. In that respect, it both represents a
continuation of Vol. 113 in Springer's series Lecture Notes in
Computational Science and Engineering, the corresponding report of
SPPEXA's first funding phase, and provides an overview of SPPEXA's
contributions towards exascale computing in today's sumpercomputer
technology. 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 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 efficient computing, virtual
reality, disruption management, big data, open science and the
internet of things, and showcases how these green information &
communication technologies (ICT) can be used to effectively address
environmental and societal challenges. Presenting a selection of
extended contributions to the 32nd edition of the International
Conference EnviroInfo 2018, at the Leibniz Supercomputing Centre in
Garching near Munich, it is essential reading for anyone looking to
expand their expertise in the area.
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 efficient computing, virtual
reality, disruption management, big data, open science and the
internet of things, and showcases how these green information &
communication technologies (ICT) can be used to effectively address
environmental and societal challenges. Presenting a selection of
extended contributions to the 32nd edition of the International
Conference EnviroInfo 2018, at the Leibniz Supercomputing Centre in
Garching near Munich, it is essential reading for anyone looking to
expand their expertise in the area.
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 thereby
highlights 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.
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 thereby
highlights 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 proceedings volume collects review articles that summarize
research conducted at the Munich Centre of Advanced Computing (MAC)
from 2008 to 2012. The articles address the increasing gap between
what should be possible in Computational Science and Engineering
due to recent advances in algorithms, hardware, and networks, and
what can actually be achieved in practice; they also examine novel
computing architectures, where computation itself is a multifaceted
process, with hardware awareness or ubiquitous parallelism due to
many-core systems being just two of the challenges faced. Topics
cover both the methodological aspects of advanced computing
(algorithms, parallel computing, data exploration, software
engineering) and cutting-edge applications from the fields of
chemistry, the geosciences, civil and mechanical engineering, etc.,
reflecting the highly interdisciplinary nature of the Munich Centre
of Advanced Computing.
Die Autoren führen auf anschauliche und systematische Weise in die
mathematische und informatische Modellierung sowie in die
Simulation als universelle Methodik ein. Es geht um Klassen von
Modellen und um die Vielfalt an Beschreibungsarten. Aber es geht
immer auch darum, wie aus Modellen konkrete Simulationsergebnisse
gewonnen werden können. Nach einem kompakten Repetitorium zum
benötigten mathematischen Apparat wird das Konzept anhand von
Szenarien u. a. aus den Bereichen „Spielen – entscheiden –
planen" und „Physik im Rechner" umgesetzt.
When the DFG (Deutsche Forschungsgemeinschaft) launched its
collabora tive research centre or SFB (Sonderforschungsbereich) 438
"Mathematical Modelling, Simulation, and Verification in
Material-Oriented Processes and Intelligent Systems" in July 1997
at the Technische Vniversitat Munchen and at the Vniversitat
Augsburg, southern Bavaria got its second nucleus of the still
young discipline scientific computing. Whereas the first and older
one, FORTWIHR, the Bavarian Consortium for High Performance
Scientific Com puting, had put its main emphasis on the
supercomputing aspect, this new initiative was now expected to
focus on the mathematical part. Consequently, throughout all of the
five main research topics (A) adaptive materials and thin layers,
(B) adaptive materials in medicine, (C) robotics, aeronautics, and
automobile technology, (D) microstructured devices and systems, and
(E) transport processes in flows, mathematical aspects play a
predominant role. The formation of the SFB 438 and its scientific
program are inextricably linked with the name of Karl-Heinz
Hoffmann. As full professor for applied mathematics in Augsburg
(1981-1991) and in Munchen (since 1992) and as dean of the faculty
of mathematics at the TV Munchen, he was the driv ing force of this
fascinating, but not always easy-to-realize idea of bringing
together scientists from mathematics, physics, engineering,
informatics, and medicine for joint efforts in modern applied
mathematics. However, scarcely work had begun when the successful
captain was called to take command on a bigger boat."
Die Autoren fuhren auf anschauliche und systematische Weise in
die mathematische und informatische Modellierung sowie in die
Simulation als universelle Methodik ein. Es geht um Klassen von
Modellen und um die Vielfalt an Beschreibungsarten. Aber es geht
immer auch darum, wie aus Modellen konkrete Simulationsergebnisse
gewonnen werden konnen. Nach einem kompakten Repetitorium zum
benotigten mathematischen Apparat wird das Konzept anhand von
Szenarien u. a. aus den Bereichen Spielen entscheiden planen" und
Physik im Rechner" umgesetzt."
This proceedings volume collects review articles that summarize
research conducted at the Munich Centre of Advanced Computing (MAC)
from 2008 to 2012. The articles address the increasing gap between
what should be possible in Computational Science and Engineering
due to recent advances in algorithms, hardware, and networks, and
what can actually be achieved in practice; they also examine novel
computing architectures, where computation itself is a multifaceted
process, with hardware awareness or ubiquitous parallelism due to
many-core systems being just two of the challenges faced. Topics
cover both the methodological aspects of advanced computing
(algorithms, parallel computing, data exploration, software
engineering) and cutting-edge applications from the fields of
chemistry, the geosciences, civil and mechanical engineering, etc.,
reflecting the highly interdisciplinary nature of the Munich Centre
of Advanced Computing.
This volume in the series Lecture Notes in Computational Science
and Engineering presents a collection of papers presented at the
International Workshop on FSI, held in October 2005 in Hohenwart
and organized by DFG's Research Unit 493 "FSI: Modeling,
Simulation, and Optimization." The papers address partitioned and
monolithic coupling approaches, methodical issues and applications,
and discuss FSI from the mathematical, informatics, and engineering
points of view.
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" .
This work presents modern implementations of relevant molecular
dynamics algorithms using ls1 mardyn, a simulation program for
engineering applications. The text focuses strictly on HPC-related
aspects, covering implementation on HPC architectures, taking Intel
Xeon and Intel Xeon Phi clusters as representatives of current
platforms. The work describes distributed and shared-memory
parallelization on these platforms, including load balancing, with
a particular focus on the efficient implementation of the compute
kernels. The text also discusses the software-architecture of the
resulting code.
Dieses Buch gibt eine Einfuhrung in die mathematische und
informatische Modellierung sowie in die Simulation als universelle
Methodik. Und so geht es um Klassen von Modellen, um deren
Herleitung und um die Vielfalt an Beschreibungsarten, die
eingesetzt werden konnen diskret oder kontinuierlich,
deterministisch oder stochastisch. Aber immer geht es auch darum,
wie aus unterschiedlichen abstrakten Modellen ganz konkrete
Simulationsergebnisse gewonnen werden konnen.
Nach einem kompakten Repetitorium zum benotigten mathematischen
Apparat wird das Konzept Uber das Modell zur Simulation" anhand von
14 Szenarien aus den Bereichen Spielen entscheiden planen," Verkehr
auf Highways und Datenhighways," Dynamische Systeme" sowie Physik
im Rechner" umgesetzt. Ob Spieltheorie oder Finanzmathematik,
Verkehr oder Regelung, ob Populationsdynamik oder Chaos,
Molekulardynamik, Kontinuumsmechanik oder Computergraphik der Leser
erhalt auf anschauliche und doch systematische Weise Einblicke in
die Welt der Modelle und Simulationen."
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