Genetic programming has long been known as a computationally expensive optimisation technique. When evolving imaging operations, the processing time increases dramatically. This work describes a system using a caching mechanism which reduces the number of evaluations needed by up to 66 percent, counteracting the effects of increasing tree size. This results in a decrease in elapsed time of up t...

Updating the structural model of complex structures is time-consuming due to the large size of the finite element model (FEM). Using conventional methods for these cases is computationally expensive or even impossible. A two-level method, which combined the Kriging predictor and the component mode synthesis (CMS) technique, was proposed to ensure the successful implementing of FEM updating of l...

Gas flooding has proven to be a promising method of enhanced oil recovery (EOR) for mature water-flooding reservoirs. The determination optimal well control parameters is an essential step proper and economic development underground hydrocarbon resources using gas injection. Generally, the optimization in requires use compositional numerical simulation forecasting production dynamics, which com...

Kieker is a framework for monitoring and analyzing software systems. The analyses performed upon the monitoring data are based on pipe-and-filter networks, that are usually executed on a single computer core. In the case of computationally expensive and memory consuming online trace analyses, this basic approach is no longer sufficient. Our approach extends the Kieker framework by adding explic...

Tuning controller parameters is a recurring and time-consuming problem in control. This is especially true in the field of adaptive control, where good performance is typically only achieved after significant tuning. Recently, it has been shown that constrained Bayesian optimization is a promising approach to automate the tuning process without risking system failures during the optimization pr...

The identification of key parameters governing reservoir performance is a significant step towards realistic production forecasting. To identify such key parameters, one classical method consists in performing dynamic simulations covering a wide range of reservoir models. In stratigraphically complex reservoirs such as deepwater turbidites, conducting such dynamic simulations and the analysis o...

Bioinformatics applications are computationally very expensive programs. They work with large data sets and also consume a lot of CPU cycles and often require high degrees of precision. An important application in this area is tertiary structure prediction of proteins. This paper reports a codesign methodology to build hardware accelerators to minimize the running time of a protein energy minim...

Sentiment analysis is the process of computationally recognizing and classifying attitudes conveyed in each text towards a particular topic, product, etc. which either positive or negative. one interesting applications natural language processing (NLP) used to analyze social media. Text media casual it can be written code-switch monolingual text. Several researchers have implemented sentiment o...

Computational optimization holds great promise for the management of oil field operations. These optimizations can be very expensive computationally, however, because each function evaluation requires a reservoir simulation, which is itself time consuming. In this paper, we present and apply a surrogate modeling procedure which greatly accelerates optimizations based on subsurface flow simulati...

UFLIC (Unsteady Flow Line Integral Convolution) is an effective texture synthesis technique to visualize unsteady flow with enhanced temporal coherence, but it is time-consuming to generate. This paper presents an accelerated algorithm, called AUFLIC (Accelerated UFLIC), to speed up the UFLIC generation. Our algorithm saves, re-uses, and updates pathlines in the value scattering processes. A fl...