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The intensive and continuous use of high-performance computing systems for executing computationally intensive applications, coupled with the large number of elements that make them up, dramatically increase the likelihood of failures during their operation. The interconnection network is a critical part of such systems, therefore, network faults have an extremely high impact because most routing...
The intensive and continuous use of high-performance computing systems for executing computationally intensive applications, coupled with the large number of elements that make them up, dramatically increase the likelihood of failures during their operation. Clearly, network faults have an extremely high impact because most routing algorithms are not designed to tolerate faults. In such algorithms,...
Intrusion Detection Systems (IDS) deploy various sensors that collect data, process this data and report events. The process of combining these events or superordinate incidences is known as event correlation. The key issues of this process are (1) to find a way how to combine events based on different data types (e. g. log entries, connection statistics or protocol identifiers), (2) to build a model...
A new method for obtaining models of the performance of parallel applications based on statistical analysis is presented in this paper. This method is based on the Akaike's information criterion (AIC) that provides an objective mechanism to rank different models by means of an experimental data fit. The input of the modeling process is a set of variables and parameters that can a priori influence...
Many parallel applications in MPSoCs take advantage of multicast communication. Several multicast schemes such as path-based, tree-based, and unicast-based have been proposed in interconnection networks. Path-based multicast scheme has been proven to be more efficient than the other schemes in on-chip interconnection network. A new adaptive routing model based on Hamiltonian path for both the multicast...
Tissue MicroArray technology aims to perforin inimunohistocheniical staining on hundreds of different tissue samples simultaneously, allowing faster analysis and considerably reducing costs incurred in staining. The presented work supports the pre-array phase of this technique, i.e. the automatic discrimination between normal and pathological regions within the analyzed tissues, and it works in the...
Peer-to-Peer (P2P) systems receive growing acceptance, and the need of identifying the states of nodes appears increasingly in a variety of P2P based applications. In this paper, we propose Hermes, an algorithm to efficiently spread and maintain the states of all nodes in large scale systems. Hermes uses an improved push & pull style gossip process to spread the states of all nodes, and proposes...
This work analyses two different approaches to parallelise an exact algorithm for the solution of the Constrained Two-Dimensional Cutting Stock Problem. A fine-grained model based on the parallel execution of the generation loops is implemented through a shared-memory model using the OpenMP tool. Also, a coarse-grained model based on the parallel execution of the search loop and in the introduction...
We investigate the scalability of the hypergraph-based sparse matrix partitioning methods with respect to the increasing sizes of matrices and number of nonzeros. We propose a method to rowwise partition the matrices that correspond to the discretization of two-dimensional domains with the five-point stencil. The proposed method obtains perfect load balance and achieves very good total communication...
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