Browsing by Subject "Parallel computing"
Now showing items 1-8 of 8
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(2014-11-19)Markov chain Monte Carlo (MCMC) methods have proven to be a very powerful tool for analyzing data of complex structures. However, their compute-intensive nature, which typically require a large number of iterations and a ...
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(2015-08-28)In this dissertation we develop multiple algorithms for efficient parallel solution of structured nonlinear programming problems by decomposition of the linear augmented system solved at each iteration of a nonlinear ...
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(2021-07-23)The objectives of this study are to develop (a) the Julia Flow and Transport Simulator (JFTS), a serial and parallel, high performance non-isothermal, multi-phase, multi-component general simulator of flow and transport ...
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(2013-04-26)Multi-core architectures are present throughout a large selection of computing devices from cell phones to super-computers. Parallel applications running on these devices solve bigger problems in a shorter time. Writing ...
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(2014-04-18)The Bayesian method has proven to be a powerful way of modeling inverse problems. The solution to Bayesian inverse problems is the posterior distribution of estimated parameters which can provide not only estimates for the ...
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(2012-02-14)The prevalence of multi-core processors in recent years has introduced new opportunities and challenges to Electronic Design Automation (EDA) research and development. In this dissertation, a few parallel Very Large Scale ...
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(2015-07-27)High performance computing is an option to increase reservoir simulation efficiency. However, highly scalable and efficient parallel application is not always easy to obtain from case to case. Load imbalance caused by mesh ...
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(2013-09-09)The Standard Template Adaptive Parallel Library (STAPL) is a parallel programming framework for C++ that provides parallel algorithms and containers similar to those found in the Standard Template Library (STL). Currently ...