Search academic resources

Intelligent computing systems comprising microprocessor cores, memory and reconfigurable user-programmable logic represent a promising technology which is well-suited for applications such as digital signal and image pro...

The two volumes attempt to render a self-contained idea of the state of the art of cluster computing by the year 1999. In the whole, thirty-six articles are presented in Vol. 1 and twenty-nine articles in Vol.2. In each ...

This thesis, entitled €High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study€ investigates the computational issues related to the resolution of linear systems o...

In collaborative self-organizing computing systems a complex task is performed by relatively simple autonomous agents that act without centralized control. Disruption of a task can be caused by agents that produce harmfu...

This work presents the application of parallel computing techniques using Graphic Processing Units to improve the effciency of scheduling heuristics for heterogeneous computing systems. The experimental evaluation of the...

A 2001 IBM manifesto observed that a looming software complexity crisis -caused by applications and environments that number into the tens of millions of lines of code - threatened to halt progress in computing. The mani...

This paper describes how to design low-cost reliable computing software for various application systems, by incorporating a single-version fault tolerant scheme along with run-time signature-based control-flow checking. ...

From the biology’s point of view, pollination is an important step in the reproduction of seed plants. From our point of view, pollination is a promising and novel, biological paradigm for future dependable and self-ma...

Large, complex computing systems have many similarities to biological systems, at least at a high level. They consist of a very large number of components, the interactions between which are complex and dynamic, and the ...

Fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropiate tools for Intelligent Computer Systems. But on the other hand, learning alg...

In this work the pipeline theory applied to computing systems is reviewed. The effects of the stage delay, overhead stage delay, equalization factor and number of stages on the pipeline system performance are analyzed. A...

We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been...

"We characterize the dynamics of runners in the famous “Running of the Bulls” Festival by computing the individual and global velocities and densities, as well as the crowd pressure. In contrast with all previously s...

Provisioning Systems were developed to reduce the effort required to install the several components included in the hardware and software stack of High Performance Computing (HPC) clusters. These systems are designed to ...

Self-optimizing mechatronic systems react autonomously and flexibly to changing conditions. They are capable of learning and optimize their behavior throughout their life cycle. The paradigm of self-optimization is origi...

Self-optimizing mechatronic systems react autonomously and flexibly to changing conditions. They are capable of learning and optimize their behavior throughout their life cycle. The paradigm of self-optimization is origi...

The paper is a basis for multiagent visual computing with the Morph Gentzen logic. A basis to VR computing, computational illusion, and virtual ontology is presented. The IM_BID model is introduced for planning, spatial ...

Context aware intelligent agents are key components in the development of pervasive systems. In this paper, we present an extension of a BDI programming language to support ontological reasoning and ontology-based speech...

Multiagent systems and online communities rely on rating systems to infer the reputation given to an individual within a particular context. The notion of reputation is essential for helping a given individual to trust i...

Component-based Development is a challenging paradigm, though Pervasive Computing Environments, as a special case of such systems, carry even more complications. Applications must be kept available for users anytime, an...

Information systems play an ever-increasing key role in our society. In particular, data intensive applications are in constant demand and there is need of computing environments with much more intelligent capabilities t...

It is a fact that gaming technology is a state-of-the-art tool for military training, not only in low level simulations, e.g. flight training simulations, but also for strategic and tactical training. It is also a fact t...

Landauer's principle is one of the pillars of the physics of information. It constitutes one of the foundations behind the idea that "information is physical". Landauer's principle establishes the smallest amount of ener...

Energy consumption has become one of the greatest challenges in the eld of High Performance Computing (HPC). Besides its impact on the environment, energy is a limiting factor for the HPC. Keeping the power consumption...