Titlebook: High Performance Computing in Clouds; Moving HPC Applicati Edson Borin,Lúcia Maria A. Drummond,Philippe Olivi Book 2023 The Editor(s) (if a

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Executing Traditional HPC Application Code in Cloud with Containerized Job Schedulers may appear unusual at first glance. Indeed, we sketch the problems, issues, and solutions when the effort is put into the HPC scheduler. We mean that the HPC applications are not rewritten, but the HPC scheduler has been cloudified. Thus, it is now available as any other Cloud service, on-demand. T

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Designing Cloud-Friendly HPC Applicationsntered on database usage. We are experiencing several cloud providers exploiting bottleneck performance bypass through optimized software and hardware infrastructures. With this in mind, each time more, we see researchers migrating their applications from on-premise to cloud resources, so enabling c

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Optimizing Infrastructure for MPI Applicationsof a collection of tasks that exchange data. With the advent of cloud computing, there is increased interest in running MPI parallel applications on the cloud. The elastic characteristics of the cloud, with the ability to allocate vast computational resources on demand, are a good match for large pa

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Avoiding Resource Wastagerms of rapid access to elastic and diversified computing resources, economies of use, and release the users from deploying and maintaining physical infrastructures. Nevertheless, users are responsible for managing the resources rented from clouds to run their workloads, a task that becomes even more

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Biological Sequence Comparison on Cloud-Based GPU Environment Algorithms that solve this problem with optimal solutions are, however, computationally intensive and usually require parallel processing to provide reasonable performance. In this chapter, we propose to explore the parallelism provided by cloud computing to execute a biological sequence comparison

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Reservoir Simulation in the Cloudies, reservoir engineer teams use simulators daily to estimate hydrocarbon reserves over time, optimize well placement, or evaluate the best recovery method, among many other studies. In combination with seismic processing, it is responsible for the largest HPC needs of the industry. Therefore, it i

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Cost Effective Deep Learning on the Cloudd computing has become a very attractive and increasingly common option for running such workloads, offering several machine configurations and specialized services. With this in mind, this chapter addresses training deep learning models in the cloud, elucidating the key components and aspects neces

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oncept of television is an entire ecosystem in which all the elements of HW, SW and broadcast channels intermingle to provide a new version of entertainment. This article will review real cases of how mobile devices can become part of this new ecosystem. It presents a set of applications that enhanc