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Parallel Computing is a compelling vision of how computation can
seamlessly scale from a single processor to virtually limitless
computing power. Unfortunately, the scaling of application
performance has not matched peak speed, and the programming burden
for these machines remains heavy. The applications must be
programmed to exploit parallelism in the most efficient way
possible. Today, the responsibility for achieving the vision of
scalable parallelism remains in the hands of the application
developer.
This book represents the collected knowledge and experience of over
60 leading parallel computing researchers. They offer students,
scientists and engineers a complete sourcebook with solid coverage
of parallel computing hardware, programming considerations,
algorithms, software and enabling technologies, as well as several
parallel application case studies. The Sourcebook of Parallel
Computing offers extensive tutorials and detailed documentation of
the advanced strategies produced by research over the last two
decades
application case studies. The Sourcebook of Parallel Computing
offers extensive tutorials and detailed documentation of the
advanced strategies produced by research over the last two
decades
* Provides a solid background in parallel computing
technologies
* Examines the technologies available and teaches students and
practitioners how to select and apply them
* Presents case studies in a range of application areas including
Chemistry, Image Processing, Data Mining, Ocean Modeling and
Earthquake Simulation
* Considers the future development of parallel computing
technologies and the kinds of applications they will support
"Distributed and Cloud Computing," named a 2012 Outstanding
Academic Title by the American Library Association's "Choice"
publication, explains how to create high-performance, scalable,
reliable systems, exposing the design principles, architecture, and
innovative applications of parallel, distributed, and cloud
computing systems.
Starting with an overview of modern distributed models, the book
provides comprehensive coverage of distributed and cloud computing,
including:
Facilitating management, debugging, migration, and disaster
recovery through virtualization
Clustered systems for research or ecommerce applications
Designing systems as web services
Social networking systems using peer-to-peer computing
Principles of cloud computing using examples from open-source
and commercial applications
Using examples from open-source and commercial vendors, the text
describes cloud-based systems for research, e-commerce, social
networking and more.
Complete coverage of modern distributed computing technology
including clusters, the grid, service-oriented architecture,
massively parallel processors, peer-to-peer networking, and cloud
computing Includes case studies from the leading distributed
computing vendors: Amazon, Microsoft, Google, and more Explains how
to use virtualization to facilitate management, debugging,
migration, and disaster recovery Designed for undergraduate or
graduate students taking a distributed systems course each chapter
includes exercises and further reading, with lecture slides and
more available online"
This unique collection introduces AI, Machine Learning (ML), and
deep neural network technologies leading to scientific discovery
from the datasets generated both by supercomputer simulation and by
modern experimental facilities.Huge quantities of experimental data
come from many sources — telescopes, satellites, gene sequencers,
accelerators, and electron microscopes, including international
facilities such as the Large Hadron Collider (LHC) at CERN in
Geneva and the ITER Tokamak in France. These sources generate many
petabytes moving to exabytes of data per year. Extracting
scientific insights from these data is a major challenge for
scientists, for whom the latest AI developments will be
essential.The timely handbook benefits professionals, researchers,
academics, and students in all fields of science and engineering as
well as AI, ML, and neural networks. Further, the vision evident in
this book inspires all those who influence or are influenced by
scientific progress.
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