Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Large-scale computing"”.
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Towards a New Directive-based Tasking API for Distributed Systems
Programming for large-scale computing requires programming models carefully designed for that purpose. MPI is often the model of choice for distributed systems, but writing MPI program is time-consuming and complicated to maintain and debug as the program size gets larger. Moreover, MPI does not …
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An experimental study of monolithic scheduler architecture in cloud computing systems
Scheduling in large scale computing clusters is critical to job performance and resource utilization. As the cluster size grows to thousands of machines and scheduling needs become complex and varied, scheduling in cloud-scale clusters presents unique challenges. To encourage the development of …
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Optimizing Timeliness, Accuracy, and Cost in Geo-Distributed Data-Intensive Computing Systems
… and plan investments in new content. The CERN Large Hadron Collider produces enough data to fill more than one billion DVDs every week, and this data has led to the discovery of the Higgs boson particle. Such large scale computing is challenging because no one machine is capable of ingesting, …
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Sources of noise in niobium-based superconducting quantum circuits
… to form the qubits has the potential for large-scale computing, if the decoherence inherent in these devices can be understood and reduced. Two-level fluctuators due to defects in the materials are thought to cause changes to the Josephson critical current or the flux through the …
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Formation of the Cloud: History, Metaphor, and Materiality
… dissertation, I look at the history of cloud computing to demonstrate the entanglement of history, metaphor, and materiality. In telling this story, I argue that metaphors play a powerful role in how we imagine, construct, and maintain our technological futures. The cloud, as a metaphor in …
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A framework for evolving grid computing systems.
Grid computing was born in the 1990s, when researchers were looking for a way to share expensive computing resources and experiment equipment. Grid computing is becoming increasingly popular because it promotes the sharing of distributed resources that may be heterogeneous in nature, and it enables …
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An Asynchronous Ensemble-Averaging Approach to CMFD Source Acceleration: Rearchitecting Monte Carlo Reactor Simulation Paradigms for the Exasacle Computing Age
… reactor analysis, stochastically sampling a large number of neutron histories throughout the reactor core with minimal approximations to the underlying phase space of the problem. Monte Carlo methods, however, face several issues, primary of which is the prohibitively large number of …
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A variational multiscale framework for non-Newtonian fluid models
… In this dissertation, the Variational Multiscale (VMS) framework is employed to derive stabilized mixed formulations for advection-diffusion, shear-rate dependent, viscoelastic, and shear-rate dependent viscoelastic fluid models. The VMS framework leads to a two-level description of the …