An Application Perspective on High-Performance Computing and Communications

We review possible and probable industrial applications of HPCC focusing on the software and hardware issues. Thirty-three separate categories are illustrated by detailed descriptions of five areas -- computational chemistry; Monte Carlo methods from physics to economics; manufacturing; and computational fluid dynamics; command and control; or crisis management; and multimedia services to client computers and settop boxes. The hardware varies from tightly-coupled parallel supercomputers to heterogeneous distributed systems. The software models span HPF and data parallelism, to distributed information systems and object/data flow parallelism on the Web. We find that in each case, it is reasonably clear that HPCC works in principle, and postulate that this knowledge can be used in a new generation of software infrastructure based on the WebWindows approach, and discussed in an accompanying paper

Annual Research Report, 2010-2011

Annual report of collaborative research projects of Old Dominion University faculty and students in partnership with business, industry and government.https://digitalcommons.odu.edu/or_researchreports/1000/thumbnail.jp

STROBE-X: X-ray Timing and Spectroscopy on Dynamical Timescales from Microseconds to Years

We present the Spectroscopic Time-Resolving Observatory for Broadband Energy X-rays (STROBE-X), a probe-class mission concept selected for study by NASA. It combines huge collecting area, high throughput, broad energy coverage, and excellent spectral and temporal resolution in a single facility. STROBE-X offers an enormous increase in sensitivity for X-ray spectral timing, extending these techniques to extragalactic targets for the first time. It is also an agile mission capable of rapid response to transient events, making it an essential X-ray partner facility in the era of time-domain, multi-wavelength, and multi-messenger astronomy. Optimized for study of the most extreme conditions found in the Universe, its key science objectives include: (1) Robustly measuring mass and spin and mapping inner accretion flows across the black hole mass spectrum, from compact stars to intermediate-mass objects to active galactic nuclei. (2) Mapping out the full mass-radius relation of neutron stars using an ensemble of nearly two dozen rotation-powered pulsars and accreting neutron stars, and hence measuring the equation of state for ultradense matter over a much wider range of densities than explored by NICER. (3) Identifying and studying X-ray counterparts (in the post-Swift era) for multiwavelength and multi-messenger transients in the dynamic sky through cross-correlation with gravitational wave interferometers, neutrino observatories, and high-cadence time-domain surveys in other electromagnetic bands. (4) Continuously surveying the dynamic X-ray sky with a large duty cycle and high time resolution to characterize the behavior of X-ray sources over an unprecedentedly vast range of time scales. STROBE-X's formidable capabilities will also enable a broad portfolio of additional science

Annual Research Report, 2009-2010

Annual report of collaborative research projects of Old Dominion University faculty and students in partnership with business, industry and governmenthttps://digitalcommons.odu.edu/or_researchreports/1001/thumbnail.jp

Photonic low-cost sensors for in-line fluid monitoring. Design methodology

779 p.The paradigm of process monitoring has evolved in the last years, driven by a clear need for improving efficiency, quality and safety of processes and products. Sectors as manufacturing, energy, food and beverages, etc. are fostering the adoption of innovative methods for controlling their processes and products, in a non-destructive, in-place, reliable, fast, accurate and cost-efficient manner. Furthermore, the parameters requested by the industry for the quality assessment are evolving from basic magnitudes as pressures, temperatures, humidity, etc. to complete chemical and physical fingerprints of these products and processes. In this situation, techniques based on the UV/VIS/NIR light-matter interaction appear to be optimum candidates to face the request of the industry. Moreover, at this moment, when we are witnessing a technological revolution in the field of optoelectronic components, which are required for setting up these light-based analyzers.However, being able to integrate these optoelectronic components with the rest of subsystems (electronics, optics, mechanics, hydraulics, data processing, etc.) is not straightforward. The development of these multi-domain and heterogeneous sensor products meeting not just technological but also market objectives poses a considerable technical and organizational challenge for any company.In this context, a methodological hybrid and agile integration of photonic components within the rest of subsystems towards a sensor product development is presented as the main outcome of the thesis. The methodology has been validated in several industrial scenarios, being three of them included in this thesis, which covers from hydraulic fluid quality control to real-time monitoring of alcoholic beverage fermentation process

SUSTAINABLE LIFETIME VALUE CREATION THROUGH INNOVATIVE PRODUCT DESIGN: A PRODUCT ASSURANCE MODEL

In the field of product development, many organizations struggle to create a value proposition that can overcome the headwinds of technology change, regulatory requirements, and intense competition, in an effort to satisfy the long-term goals of sustainability. Today, organizations are realizing that they have lost portfolio value due to poor reliability, early product retirement, and abandoned design platforms. Beyond Lean and Green Manufacturing, shareholder value can be enhanced by taking a broader perspective, and integrating sustainability innovation elements into product designs in order to improve the delivery process and extend the life of product platforms. This research is divided into two parts that lead to closing the loop towards Sustainable Value Creation in product development. The first section presents a framework for achieving Sustainable Lifetime Value through a toolset that bridges the gap between financial success and sustainable product design. Focus is placed on the analysis of the sustainable value proposition between producers, consumers, society, and the environment and the half-life of product platforms. The Half-Life Return Model is presented, designed to provide feedback to producers in the pursuit of improving the return on investment for the primary stakeholders. The second part applies the driving aspects of the framework with the development of an Adaptive Genetic Search Algorithm. The algorithm is designed to improve fault detection and mitigation during the product delivery process. A computer simulation is used to study the effectiveness of primary aspects introduced in the search algorithm, in order to attempt to improve the reliability growth of the system during the development life-cycle. The results of the analysis draw attention to the sensitivity of the driving aspects identified in the product development lifecycle, which affect the long term goals of sustainable product development. With the use of the techniques identified in this research, cost effective test case generation can be improved without a major degradation in the diversity of the search patterns required to insure a high level of fault detection. This in turn can lead to improvements in the driving aspects of the Half-Life Return Model, and ultimately the goal of designing sustainable products and processes

A Roadmap for HEP Software and Computing R&D for the 2020s

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. Similarly, it requires commensurate investment in the R&D of software to acquire, manage, process, and analyse the shear amounts of data to be recorded. In planning for the HL-LHC in particular, it is critical that all of the collaborating stakeholders agree on the software goals and priorities, and that the efforts complement each other. In this spirit, this white paper describes the R&D activities required to prepare for this software upgrade.Peer reviewe

Perspectives of Nuclear Physics in Europe: NuPECC Long Range Plan 2010

The goal of this European Science Foundation Forward Look into the future of Nuclear Physics is to bring together the entire Nuclear Physics community in Europe to formulate a coherent plan of the best way to develop the field in the coming decade and beyond.<p></p> The primary aim of Nuclear Physics is to understand the origin, evolution, structure and phases of strongly interacting matter, which constitutes nearly 100% of the visible matter in the universe. This is an immensely important and challenging task that requires the concerted effort of scientists working in both theory and experiment, funding agencies, politicians and the public.<p></p> Nuclear Physics projects are often “big science”, which implies large investments and long lead times. They need careful forward planning and strong support from policy makers. This Forward Look provides an excellent tool to achieve this. It represents the outcome of detailed scrutiny by Europe’s leading experts and will help focus the views of the scientific community on the most promising directions in the field and create the basis for funding agencies to provide adequate support.<p></p> The current NuPECC Long Range Plan 2010 “Perspectives of Nuclear Physics in Europe” resulted from consultation with close to 6 000 scientists and engineers over a period of approximately one year. Its detailed recommendations are presented on the following pages. For the interested public, a short summary brochure has been produced to accompany the Forward Look.<p></p&gt

A framework for modeling and improving agile requirements engineering.

Context. Companies adopt hybrid development models consisting of an integration of agile methodologies and Human-Centered Design (HCD) with the aim to increase value delivery as well as to reduce time to market. This has an impact on how Requirements Engineering (RE) is carried out in an agile environment. To this end, people apply different kind of agile techniques like artifacts, meetings, methods, and roles. In this context, companies often struggle with improving their value chain in a systematic manner, since guidelines for choosing an appropriate set of agile techniques are missing. Objective. The vision of this PhD thesis is to build a framework for modeling agile RE. Organizations benefit from implementing this framework by increasing their value delivery (organization external) and improving the collaboration (organizational intern). Method. We followed an inductive research approach, where we used the learnings from several studies to create the framework. In the beginning, we carried out a Systematic Literature Review (SLR) to analyze the state of the art of agile RE with focus on user and stakeholder involvement. Subsequent, we created the agile RE metamodel, which evolved iteratively along the consecutively studies. Based on the metamodel, we defined an profile that can be used to create domain specific models according to the organizational environment. Moreover, we conducted a Delphi study in order to identify the most important problems industry has to face today in terms of agile RE. The results were used as input for a systematic pattern mining process, which was utilized in order to create agile RE patterns. Results. The framework for modeling agile RE consists of three main components: i) agile RE metamodel, which can be used to analyze the organizational environment in terms of value delivery ii) catalogue of agile RE problems, which allows to detect recurring problems in terms of agile RE iii) catalogue of agile RE patterns, which allows to solve the detected problems. The agile RE metamodel comes with a profile, which can be used to deviate domain specific models. In addition, we created tool support for the framework by means of a web application (agileRE.org), which allows us to share the knowledge and best practices for agile RE. Furthermore, we proved how the framework can be applied in industry by means of case studies in Germany and in Spain. Conclusion. The framework for modeling agile RE empowers companies to improve their organizational environments in terms of value delivery and collaboration. Companies can use the framework for improving their value chain in a systematic manner. In particular, it gives guidance for choosing appropriate agile techniques, which fit to the changing needs of the organizational environment. In addition, we can state that the framework is applicable on an international level.Contexto. Con el objetivo de incrementar la potencialidad de sus desarrollos y de reducir el tiempo de puesta en el mercado, las empresas adoptan modelos de desarrollo híbridos que integran metodologías ágiles y diseño centrado en el usuario (DCU). El tratamiento de los requisitos de software en entornos ágiles es algo que impacta de manera directa en la consecución de estos objetivos. Por ello, los equipos aplican diferentes técnicas de tratamiento de requisitos como los artefactos, reuniones, métodos de trabajos grupales o el tratamiento efectivo de roles. Sin embargo, las empresas a menudo se encuentran con dificultades para elegir las mejores técnicas a aplicar en su contexto y hay una carencia de guías de soporte. Objetivo. La visión de esta tesis doctoral es construir un framework para trabajar de manera efectiva con requisitos ágiles. La idea esencial es que las organizaciones y empresas puedan usar el framework para mejorar tanto su cadena de valor (visión externa) como para mejorar sus procesos de desarrollo (visión interna). Método. Para el desarrollo del trabajo se ha usado una metodología de investigación inductiva, usando diferentes métodos de trabajo. Inicialmente, se ha llevado a cabo un estudio sistemático de la literatura (SLR) que nos permite evaluar el estado del arte en el tratamiento de requisitos ágiles pero centrado en cómo se trabaja con la involucración de los diferentes stakeholders en el proceso. Hemos continuado aplicando la ingeniería guiada por modelos desarrollando un metamodelo para trabajar con los requisitos ágiles y un profile que permite definir un lenguaje específico de dominio para el uso del metamodelo en entornos concretos. Este trabajo se ha enriquecido con la aplicación de un estudio usando Delphi para identificar los problemas más importantes que la industria se encuentra a la hora de trabajar con ingeniería de requisitos en entornos agiles. Finalmente, con los resultados hemos conseguido desarrollar un conjunto de patrones para la creación de requisitos ágiles. Resultados. El framework para modelar requisitos ágiles tiene tres componentes principales: i) Metamodelo para trabajar con requisitos ágiles que servirá para analizar el entorno de la organización. ii) un catálogo de posibles problemas que se encuentran en entornos agiles y iii) un catálogo de patrones de requisitos ágiles que resuelven los problemas detectados. El metamodelo para el trabajo con requisitos ágiles viene acompañado de un lenguaje específico de dominio, basado en un perfil. Y, además, se ha creado una aplicación web (agileRE.org) que ayuda a poner en común el conocimiento. Por último, el framework ha sido aplicado con éxito en entornos empresariales españoles y alemanes. Conclusión. El framework para modelar requisitos ágiles ayuda a las compañías a mejorar sus entornos organizaciones in términos de costes de desarrollo y aspectos colaborativos. Las empresas pueden usar el framework para mejorar su cadena de valor de una manera sistemática. En particular, da una guía para elegir técnicas apropiadas en el tratamiento de requisitos ágiles, pudiendo adaptarse al a realidad del entorno concreto de trabajo