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In this volume authors of academia and practice provide practitioners, scientists and graduate students with a good overview of basic methods and paradigms, as well as important issues and trends across the broad spectrum of parallel and distributed processing. In particular, the book covers fundamental topics such as efficient parallel algorithms, languages for parallel processing, parallel operating systems, architecture of parallel and distributed systems, management of resources, tools for parallel computing, parallel database systems and multimedia object servers, and networking aspects of distributed and parallel computing. Three chapters are dedicated to applications: parallel and distributed scientific computing, high-performance computing in molecular sciences, and multimedia applications for parallel and distributed systems. Summing up, the Handbook is indispensable for academics and professionals who are interested in learning the leading expert`s view of the topic.
In this book the authors aim to endow the reader with an
operational, conceptual, and methodological understanding of the
discrete mathematics that can be used to study, understand, and
perform computing. They want the reader to understand the elements
of computing, rather than just know them. The basic topics are
presented in a way that encourages readers to develop their
personal way of thinking about mathematics. Many topics are
developed at several levels, in a single voice, with sample
applications from within the world of computing. Extensive
historical and cultural asides emphasize the human side of
mathematics and mathematicians. By means of lessons and exercises
on "doing" mathematics, the book prepares interested readers to
develop new concepts and invent new techniques and technologies
that will enhance all aspects of computing. The book will be of
value to students, scientists, and engineers engaged in the design
and use of computing systems, and to scholars and practitioners
beyond these technical fields who want to learn and apply novel
computational ideas.
In this volume authors of academia and practice provide
practitioners, scientists and graduate students with a good
overview of basic methods and paradigms, as well as important
issues and trends across the broad spectrum of parallel and
distributed processing. In particular, the book covers fundamental
topics such as efficient parallel algorithms, languages for
parallel processing, parallel operating systems, architecture of
parallel and distributed systems, management of resources, tools
for parallel computing, parallel database systems and multimedia
object servers, and networking aspects of distributed and parallel
computing. Three chapters are dedicated to applications: parallel
and distributed scientific computing, high-performance computing in
molecular sciences, and multimedia applications for parallel and
distributed systems. Summing up, the Handbook is indispensable for
academics and professionals who are interested in learning the
leading experts view of the topic.
This volume presents the proceedings of the joint meeting CONPAR 92
- VAPP V, held in Lyon, France, September 1992. The international
Conferences on Parallel Processing (CONPAR) and the meetings on
Vector and Parallel Processors in computational science (VAPP) have
been held jointly since CONPAR 90 - VAPP IV, held in Zurich. The
aim of the meeting presented in this volume is to review hardware
and architecture developmentstogether with languages and software
tools for supporting parallel processing and to highlight advances
in models, algorithms, andapplications software on vector and
parallel architectures. The papers in the volume are organized into
sections on networks, software tools, distributed algorithms,
dedicated architectures, numerical applications, systolic
algorithms, parallel linear algebra, architectures, shared virtual
memory, load balancing, data parallelism, parallel algorithms,
image processing, compiling and scheduling, simulation and
performance analysis, parallel artificialintelligence, dataflow
architectures, parallel programming, and poster presentations.
In this book the authors aim to endow the reader with an
operational, conceptual, and methodological understanding of the
discrete mathematics that can be used to study, understand, and
perform computing. They want the reader to understand the elements
of computing, rather than just know them. The basic topics are
presented in a way that encourages readers to develop their
personal way of thinking about mathematics. Many topics are
developed at several levels, in a single voice, with sample
applications from within the world of computing. Extensive
historical and cultural asides emphasize the human side of
mathematics and mathematicians. By means of lessons and exercises
on "doing" mathematics, the book prepares interested readers to
develop new concepts and invent new techniques and technologies
that will enhance all aspects of computing. The book will be of
value to students, scientists, and engineers engaged in the design
and use of computing systems, and to scholars and practitioners
beyond these technical fields who want to learn and apply novel
computational ideas.
This book constitutes the refereed proceedings of the 22nd
International Conference on Parallel and Distributed Computing,
Euro-Par 2016, held in Grenoble, France, in August 2016. The 47
revised full papers presented together with 2 invited papers and
one industrial paper were carefully reviewed and selected from 176
submissions. The papers are organized in 12 topical sections:
Support Tools and Environments; Performance and Power Modeling,
Prediction and Evaluation; Scheduling and Load Balancing; High
Performance Architectures and Compilers; Parallel and Distributed
Data Management and Analytics; Cluster and Cloud Computing;
Distributed Systems and Algorithms; Parallel and Distributed
Programming, Interfaces, Languages; Multicore and Manycore
Parallelism; Theory and Algorithms for Parallel Computation and
Networking; Parallel Numerical Methods and Applications;
Accelerator Computing.
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