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. 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.

本書は、莫大な計算資源を要するＨＰＣと柔軟なクラウド、この二つの巨大な潮流が交差する瞬間のダイナミズムを鮮やかに描いています。著者らが示すのは、リソース最適化という冷徹な論理の裏側に潜む、人類の科学的探究を加速させようとする静かな情熱そのものです。 バイオインフォマティクス等の実例を軸に、複雑なインフラ設計を一編の「知の体系」へと昇華させる手腕は見事です。理論と実践が織りなす緻密な構成は、効率化の先にある未来を予感させ、未知の領域へ挑む者の知的好奇心を激しく揺さぶる、まさに新時代のロードマップと呼ぶに相応しい一冊です。