Programming Languages for Data-Intensive HPC Applications: a Systematic Mapping Study

A major challenge in modelling and simulation is the need to combine expertise in both software technologies and a given scientific domain. When High-Performance Computing (HPC) is required to solve a scientific problem, software development becomes a problematic issue. Considering the complexity of the software for HPC, it is useful to identify programming languages that can be used to alleviate this issue. Because the existing literature on the topic of HPC is very dispersed, we performed a Systematic Mapping Study (SMS) in the context of the European COST Action cHiPSet. This literature study maps characteristics of various programming languages for data-intensive HPC applications, including category, typical user profiles, effectiveness, and type of articles. We organised the SMS in two phases. In the first phase, relevant articles are identified employing an automated keyword-based search in eight digital libraries. This lead to an initial sample of 420 papers, which was then narrowed down in a second phase by human inspection of article abstracts, titles and keywords to 152 relevant articles published in the period 2006–2018. The analysis of these articles enabled us to identify 26 programming languages referred to in 33 of relevant articles. We compared the outcome of the mapping study with results of our questionnaire-based survey that involved 57 HPC experts. The mapping study and the survey revealed that the desired features of programming languages for data-intensive HPC applications are portability, performance and usability. Furthermore, we observed that the majority of the programming languages used in the context of data-intensive HPC applications are text-based general-purpose programming languages. Typically these have a steep learning curve, which makes them difficult to adopt. We believe that the outcome of this study will inspire future research and development in programming languages for data-intensive HPC applications.Additional co-authors: Sabri Pllana, Ana Respício, José Simão, Luís Veiga, Ari Vis

IntegraDos: facilitating the adoption of the Internet of Things through the integration of technologies

También, han sido analizados los componentes para una integración del IoT y cloud computing, concluyendo en la arquitectura Lambda-CoAP. Y por último, los desafíos para una integración del IoT y Blockchain han sido analizados junto con una evaluación de las posibilidades de los dispositivos del IoT para incorporar nodos de Blockchain. Las contribuciones de esta tesis doctoral contribuyen a acercar la adopción del IoT en la sociedad, y por tanto, a la expansión de esta prominente tecnología. Fecha de lectura de Tesis: 17 de diciembre 2018.El Internet de las Cosas (IoT) fue un nuevo concepto introducido por K. Asthon en 1999 para referirse a un conjunto identificable de objetos conectados a través de RFID. Actualmente, el IoT se caracteriza por ser una tecnología ubicua que está presente en un gran número de áreas, como puede ser la monitorización de infraestructuras críticas, sistemas de trazabilidad o sistemas asistidos para el cuidado de la salud. El IoT está cada vez más presente en nuestro día a día, cubriendo un gran abanico de posibilidades con el fin de optimizar los procesos y problemas a los que se enfrenta la sociedad. Es por ello por lo que el IoT es una tecnología prometedora que está continuamente evolucionando gracias a la continua investigación y el gran número de dispositivos, sistemas y componentes emergidos cada día. Sin embargo, los dispositivos involucrados en el IoT se corresponden normalmente con dispositivos embebidos con limitaciones de almacenamiento y procesamiento, así como restricciones de memoria y potencia. Además, el número de objetos o dispositivos conectados a Internet contiene grandes previsiones de crecimiento para los próximos años, con unas expectativas de 500 miles de millones de objetos conectados para 2030. Por lo tanto, para dar cabida a despliegues globales del IoT, además de suplir las limitaciones que existen, es necesario involucrar nuevos sistemas y paradigmas que faciliten la adopción de este campo. El principal objetivo de esta tesis doctoral, conocida como IntegraDos, es facilitar la adopción del IoT a través de la integración con una serie de tecnologías. Por un lado, ha sido abordado cómo puede ser facilitada la gestión de sensores y actuadores en dispositivos físicos sin tener que acceder y programar las placas de desarrollo. Por otro lado, un sistema para programar aplicaciones del IoT portables, adaptables, personalizadas y desacopladas de los dispositivos ha sido definido

PERICLES Deliverable 4.3:Content Semantics and Use Context Analysis Techniques

The current deliverable summarises the work conducted within task T4.3 of WP4, focusing on the extraction and the subsequent analysis of semantic information from digital content, which is imperative for its preservability. More specifically, the deliverable defines content semantic information from a visual and textual perspective, explains how this information can be exploited in long-term digital preservation and proposes novel approaches for extracting this information in a scalable manner. Additionally, the deliverable discusses novel techniques for retrieving and analysing the context of use of digital objects. Although this topic has not been extensively studied by existing literature, we believe use context is vital in augmenting the semantic information and maintaining the usability and preservability of the digital objects, as well as their ability to be accurately interpreted as initially intended.PERICLE

Linguagens para a Computação de Alto Desempenho, utilizadas no processamento de Big Data: Um Estudo de Mapeamento Sistemático

Big Data são conjuntos de informação de alto Volume, Velocidade e/ou Variedade que exigem formas inovadoras e económicas de processamento, que permitem uma melhor percepção, tomada de decisões e automação de processos. Desde 2002, a taxa de melhoria do desempenho em processadores simples diminuiu bruscamente. A fim de aumentar o poder dos processadores, foram utilizados múltiplos cores, em paralelo, num único chip. Para conseguir beneficiar deste tipo de arquiteturas, é necessário reescrever os programas sequenciais. O objetivo da Computação de Alto Desempenho (CAD) é estudar as metodologias e técnicas que permitem a exploração destas arquiteturas. O desafio é a necessidade de combinar o desenvolvimento de Software para a CAD com a gestão e análise de Big Data. Quando a computação paralela e distribuída é obrigatória, o código torna-se mais difícil. Para tal, é necessário saber quais são as linguagens a utilizar para facilitar essa tarefa. Pelo facto da literatura existente sobre o tópico da CAD se encontrar muito dispersa, foi conduzido um Estudo de Mapeamento Sistemático (EMS), que agrega caraterísticas sobre as diferentes linguagens encontradas (categoria; natureza; perfis de utilizador típicos; eficácia; tipos de artigos publicados na área), no processamento de Big Data, auxiliando estudantes, investigadores, ou outros profissionais que necessitem de uma introdução ou uma visão panorâmica sobre este tema. A pesquisa de artigos foi efetuada numa busca automatizada, baseada em palavraschave, nas bases de dados de 8 bibliotecas digitais selecionadas. Este processo resultou numa amostra inicial de 420 artigos, que foi reduzida a 152 artigos, publicados entre Janeiro de 2006 e Março de 2018. A análise manual desses artigos permitiu-nos identificar 26 linguagens em 33 publicações incluídas. Sumarizei e comparei as informações com as opiniões de profissionais. Os resultados indicaram que a maioria destas linguagens são Linguagem de Propósito Geral (LPG) em vez de Linguagem de Domínio Específico (LDE), o que nos leva a concluir que existe uma oportunidade de investigação aplicada de linguagens que tornem a codificação mais fácil para os especialistas do domínio

Advances in knowledge discovery and data mining Part II

19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II</p

Enhanced Living Environments

This open access book was prepared as a Final Publication of the COST Action IC1303 “Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE)”. The concept of Enhanced Living Environments (ELE) refers to the area of Ambient Assisted Living (AAL) that is more related with Information and Communication Technologies (ICT). Effective ELE solutions require appropriate ICT algorithms, architectures, platforms, and systems, having in view the advance of science and technology in this area and the development of new and innovative solutions that can provide improvements in the quality of life for people in their homes and can reduce the financial burden on the budgets of the healthcare providers. The aim of this book is to become a state-of-the-art reference, discussing progress made, as well as prompting future directions on theories, practices, standards, and strategies related to the ELE area. The book contains 12 chapters and can serve as a valuable reference for undergraduate students, post-graduate students, educators, faculty members, researchers, engineers, medical doctors, healthcare organizations, insurance companies, and research strategists working in this area

OGRS2012 Symposium Proceedings

Do you remember the Open Source Geospatial Research and Education Symposium (OGRS) in Nantes? "Les Machines de l’Île", the Big Elephant, the "Storm Boat" with Claramunt, Petit et al. (2009), and "le Biniou et la Bombarde"? A second edition of OGRS was promised, and that promise is now fulfilled in OGRS 2012, Yverdon-les-Bains, Switzerland, October 24-26, 2012. OGRS is a meeting dedicated to sharing knowledge, new solutions, methods, practices, ideas and trends in the field of geospatial information through the development and the use of free and open source software in both research and education. In recent years, the development of geospatial free and open source software (GFOSS) has breathed new life into the geospatial domain. GFOSS has been extensively promoted by FOSS4G events, which evolved from meetings which gathered together interested GFOSS development communities to a standard business conference. More in line with the academic side of the FOSS4G conferences, OGRS is a rather neutral forum whose goal is to assemble a community whose main concern is to find new solutions by sharing knowledge and methods free of software license limits. This is why OGRS is primarily concerned with the academic world, though it also involves public institutions, organizations and companies interested in geospatial innovation. This symposium is therefore not an exhibition for presenting existing industrial software solutions, but an event we hope will act as a catalyst for research and innovation and new collaborations between research teams, public agencies and industries. An educational aspect has recently been added to the content of the symposium. This important addition examines the knowledge triangle - research, education, and innovation - through the lens of how open source methods can improve education efficiency. Based on their experience, OGRS contributors bring to the table ideas on how open source training is likely to offer pedagogical advantages to equip students with the skills and knowledge necessary to succeed in tomorrow’s geospatial labor market. OGRS brings together a large collection of current innovative research projects from around the world, with the goal of examining how research uses and contributes to open source initiatives. By presenting their research, OGRS contributors shed light on how the open-source approach impacts research, and vice-versa. The organizers of the symposium wish to demonstrate how the use and development of open source software strengthen education, research and innovation in geospatial fields. To support this approach, the present proceedings propose thirty short papers grouped under the following thematic headings: Education, Earth Science & Landscape, Data, Remote Sensing, Spatial Analysis, Urban Simulation and Tools. These papers are preceded by the contributions of the four keynote speakers: Prof Helena Mitasova, Dr Gérard Hégron, Prof Sergio Rey and Prof Robert Weibel, who share their expertise in research and education in order to highlight the decisive advantages of openness over the limits imposed by the closed-source license system