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This book brings a thorough explanation on the path needed to use
cloud computing technologies to run High-Performance Computing
(HPC) applications. Besides presenting the motivation behind moving
HPC applications to the cloud, it covers both essential and
advanced issues on this topic such as deploying HPC applications
and infrastructures, designing cloud-friendly HPC applications, and
optimizing a provisioned cloud infrastructure to run this family of
applications. Additionally, this book also describes the best
practices to maintain and keep running HPC applications in the
cloud by employing fault tolerance techniques and avoiding resource
wastage. Â To give practical meaning to topics covered in
this book, it brings some case studies where HPC applications, used
in relevant scientific areas like Bioinformatics and Oil and Gas
industry were moved to the cloud. Moreover, it also discusses how
to train deep learning models in the cloud elucidating the key
components and aspects necessary to train these models via
different types of services offered by cloud providers. Despite the
vast bibliography about cloud computing and HPC, to the best of our
knowledge, no existing manuscript has comprehensively covered these
topics and discussed the steps, methods and strategies to execute
HPC applications in clouds. Therefore, we believe this title is
useful for IT professionals and students and researchers interested
in cutting-edge technologies, concepts, and insights focusing on
the use of cloud technologies to run HPC applications.
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