In the digital age, supercomputing has become an indispensable resource for fostering innovation, economic growth and social cohesion in Europe. Supercomputing has become an indispensable resource in the digital age, thereby transforming research, businesses and our daily lives. It strongly...

In the digital age, supercomputing has become an indispensable resource for fostering innovation, economic growth and social cohesion in Europe. Supercomputing has become an indispensable resource in the digital age, thereby transforming research, businesses and our daily lives. It strongly...

In this note, we propose a method for efficient simulation of paths of latent Markovian state processes in a Markov Chain Monte Carlo setting. Our method harnesses available parallel computing power by breaking the sequential nature of commonly encountered state simulation routines. We offer a...

In recent years parallel and distributed systems have become increasingly attractive for applications with high computational demands such as simulation of complex systems from groups of companies. The main advantage of such systems is the ratio, rather than attractive, between the price and...

Massively parallel desktop computing capabilities now well within the reach of individual academics modify the environment for posterior simulation in fundamental and potentially quite advantageous ways. But to fully exploit these benefits algorithms that conform to parallel computing...

In this paper, we have researched and developed solutions for optimizing the radix sort algorithmic function using the Compute Unified Device Architecture (CUDA). The radix sort is a common parallel primitive, an essential building block for many data processing algorithms, whose optimization...

In this paper, I have researched and developed solutions for optimizing the stream compaction algorithmic function using the Compute Unified Device Architecture (CUDA). The stream compaction is a common parallel primitive, an essential building block for many data processing algorithms, whose...

In this paper, we have researched economic considerations regarding the opportunity of optimizing data processing using graphics processing units (GPU) that implement the Compute Unified Device Architecture (CUDA). After analyzing the hardware’s costs and a series of experimental tests, the...

In this paper, the authors propose a new parallel implemented approach on Graphics Processing Units (GPU) for training logistic regression model. Logistic regression has been applied in many machine learning applications to build building predictive models. However, logistic training regularly...

Optimizing the two computing resources of any computing system - time and space - has al-ways been one of the priority objectives of any database. A current and effective solution in this respect is the computer database. Optimizing computer applications by means of database machines has been a...

A distinguished successful platform for parallel data processing MapReduce is attracting a significant momentum from both academia and industry as the volume of data to capture, transform, and analyse grows rapidly. Although MapReduce is used in many applications to analyse large scale data...

The demand to access to a large volume of data, distributed across hundreds or thousands of machines, has opened new opportunities in commerce, science, and computing applications. MapReduce is a paradigm that offers a programming model and an associated implementation for processing massive...

In this paper, the authors highlight the existence of close relations between the execution time, efficiency and number of communication rounds in a family of CGM-based parallel algorithms for the optimal binary search tree problem (OBST). In this case, these three parameters cannot be...

Structural classification and parameter estimation (SCPE) methods have been used for studying single-input single. output (SISO) parallel and feedback nonlinear system models from input-output (I-O) measurements. The uniqueness of the I-O mappings of different models and parameter uniqueness of...

The future of mobile banking will be represented by such applications that support mobile, Internet banking and EFT (Electronic Funds Transfer) transactions in a single user interface. In such a way, the mobile banking will be able to cover all the types of applications demanded at the market...

The mobile banking involves the use of some mobile telecommunication devices (such phones or PDAs - Personal Digital Assistants) in order to complete, in a secure manner, banking transactions (like payments, transfers, account information and so on). It doesn't matter where the user is...

Massively parallel desktop computing capabilities now well within the reach of individual academics modify the environment for posterior simulation in fundamental and potentially quite advantageous ways. But to fully exploit these benefits algorithms that conform to parallel computing...

The objective of this thesis is to prove the validity of a multi-area state estimator and investigate the advantages it provides over a serial state estimator. This is done utilizing the IEEE 118 Bus Test System as a sample system. This thesis investigates the benefits that stem from utilizing a...

In this paper we study corporate debt values, capital structure, and the term structure of interest rates in a unified framework. We employ numerical techniques to compute the firm's optimal capital structure and the value of its long-term risky debt and yield spreads when the value of the...

This paper develops a detailed partial equilibrium model of housing wealth's role over the life-cycle to explore (1) housing's dual role as a consumption and investment good; (2) the significance of the mortgage contract being in nominal and not real terms; and (3) the tax benefits associated...