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Monte Carlo methods are a wide range of computational algorithms which depend on repeated random sampling to obtain numerical results. They are of great interest in parallel computing because the samplings are very often independent of one another, which expose abundant parallelism. Such parallelism is well suited for modern processors with large number of cores. In this study, we revisit the Monte...
In this paper, we provide an overview of the MANGO project and its goal. The MANGO project aims at addressing power, performance and predictability (the PPP space) in future High-Performance Computing systems. It starts from the fundamental intuition that effective techniques for all three goals ultimately rely on customization to adapt the computing resources to reach the desired Quality of Service...
The main goal of the ANTAREX project is to express by a Domain Specific Language (DSL) the application self-adaptivity and to runtime manage and autotune applications for green and heterogeneous High Performance Computing (HPC) systems up to the Exascale level. Key innovations of the project include the introduction of a separation of concerns between self-adaptivity strategies and application functionalities...
Efficiently utilizing the resources provided on current petascale and future exascale systems will be a challenging task, potentially causing a large amount of underutilized resources and wasted energy. A promising potential to improve efficiency of HPC applications stems from the significant degree of dynamic behavior, e.g., run-time alternation in application resource requirements in HPC workloads...
Numerical programs with IEEE 754 floating-point computations may suffer from inaccuracies since finite precision arithmetic is an approximation of real arithmetic. Solutions that reduce the loss of accuracy are available as, for instance, compensated algorithms, more precise computation with double-double or similar libraries. Our objective is to automatically improve the numerical quality of a numerical...
This paper proposes a scheme of user-assisted QoS control by media adaptive buffering for user-assisted Quality of Experience (QoE) enhancement. The scheme consists of two modes: a manual mode and an automatic mode. Users can switch these two modes according to their inclinations. We deal with four QoS control schemes for comparison: the manual mode only, the automatic mode only, the switching scheme...
In this paper, we consider the performance of the transmission control protocol (TCP) when used in data center networks featuring optical burst switching (OBS). We evaluate the performance using network-level simulation. The bandwidth-delay product in wide-area OBS networks is high enough to require the use of one-way reservation to achieve good throughput. The resulting burst loss will be mistakenly...
The main contribution of the present work consists of several parallel approaches for grid refinement based on a multi-domain decomposition for lattice-Boltzmann simulations. The proposed method for discretizing the fluid incorporates different regular Cartesian grids with no homogeneous spatial domains, which are in need to be communicated each other. Three different parallel approaches are proposed,...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Multi-core processors promise improved performance and a higher physical integration by combining functions of different criticality levels in one platform. Networked multi-core chips are required to achieve a system reliability beyond the reliability of a single chip and to satisfy resource requirements exceeding the capacity of a single chip. As a consequence, hierarchical platforms emerge in which...
The unsupervised analysis of data-sets, both large in dimension as well as in number of objects, are one of the most challenging tasks in data intense sciences. Especially in astronomy, dedicated survey telescopes generate an enormous amount of complex data. For example the database of the Sloan Digital Sky Survey (SDSS DR10) contains 3 million spectra with ca. 5,000 values each. Analyzing those spectra...
In this paper, we introduce a utility driven strategy to schedule concurrent workflows constrained to user's QoS parameters, namely Deadline and Budget. The Multi-Workflow Deadline-Budget Scheduling algorithm (MW-DBS) can schedule multiple workflows that can arrive to the system at any instant of time, with the aim of satisfying individual QoS requirements. Common approaches optimize one factor, e...
Home Automation is becoming more and more common in everyday life. In order to permit a remote control of domestic devices a bridge between the Internet network and the Home Network is necessary. This function is commonly operated by the Smart Home gateway which thus results a critical point for the security of the network. Recently several general purpose devices exist that are capable of connecting...
Monitoring of Internet services shows that there is a global and growing trend in the use of Cloud Services. This paper aims to identify and quantify the use of Cloud Services taking the University of Minho (UMinho) network as a practical case study. Thus, this study focuses on characterizing Cloud Storage services, identifying the most accessed Cloud Storage Providers and the characteristics of corresponding...
The paper considers an approach for detection of anomalous patterns of network connections using artificial neural networks, immune systems, neuro-fuzzy classifiers and their combination. The principal component analysis is proposed to optimize the assigned problem. The architecture of the intrusion detection system, based on the application of the proposed methods, is described. The main advantage...
This paper deals with the offline allocation of lightpaths in all-optical networks taking into consideration not only the wavelength continuity and non-overlapping constraints of the classic routing and wavelength assignment (RWA) problem but also the optical nonlinear impairments modelled by the Gaussian Noise (GN) model. In this work, we deal with the associated impairment aware RWA problem aiming...
Today, there is much knowledge that is not exploited from the clinical records from thousands of patients treated at different centres. In part, this is because traditional databases fail from revealing undiscovered correlations that can contribute to improve clinical outcomes and to reduce the costs of patient care. This paper presents a new graph processing framework for clinical data, which can...
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