{"title":"C++ EDSL for parallel code generation","authors":"D. Berényi","doi":"10.1109/ROLCG.2015.7367231","DOIUrl":"https://doi.org/10.1109/ROLCG.2015.7367231","url":null,"abstract":"Code generation is ubiquitous for modern highperformance computing (HPC) to provide efficient but highly parametrizable program development. Many times functional dependencies should be made available for the user to manipulate, and such arbitrary functions should be efficiently parallelized over multiple levels. We propose an embedded domain specific language inside C++ for manipulating abstract syntax trees (ASTs) that can represent arbitrary computation, and that such language can be extended with constructs for parallelism and functional programming.","PeriodicalId":126559,"journal":{"name":"2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120962560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stepping up theoretical investigations of ultrashort and intense laser pulses with overdense plasmas. Combining particle-in-cell simulations with machine learning and big data","authors":"A. Mihăilescu","doi":"10.1109/ROLCG.2015.7367424","DOIUrl":"https://doi.org/10.1109/ROLCG.2015.7367424","url":null,"abstract":"Over the past decade, advances in the laser technology brought about an increase in the maximum achievable laser intensity of six orders. At the same time, the pulse duration was considerably shortened. The interaction of such ultrashort and intense laser pulses with solid targets and dense plasmas is a rapidly developing area of physics. Hence, a growing interest in characterizing as accurately as possible the phenomena of absorption and reflection that occur during this interaction. Particle-in-Cell (PIC) simulations have traditionally been known to be one of the most important numerical tools employed in plasma physics and in laser-plasma interaction investigations. However, PIC codes are subject to non-physical behaviours such as statistical noise, non-physical instabilities, non-conservation, and numerical heating. Secondly, they require considerable computational resources. This paper proposes a novel approach by combining PIC simulations with machine learning in order to derive optimal laser-plasma interaction scenarios for particular given laboratory experiments. Over 2TB of interaction data consisting of PIC output and also of available literature data have been processed using Hadoop and Apache Mahout, respectively. The combination is a reliable tool for estimations of electron temperatures, plasma densities, parametric instabilities, offering valuable insights on potential interaction phenomena.","PeriodicalId":126559,"journal":{"name":"2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128637741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aileni Raluca Maria, Pașca Sever, Valderrama Carlos
{"title":"Cloud computing for big data from biomedical sensors monitoring, storage and analyze","authors":"Aileni Raluca Maria, Pașca Sever, Valderrama Carlos","doi":"10.1109/ROLCG.2015.7367419","DOIUrl":"https://doi.org/10.1109/ROLCG.2015.7367419","url":null,"abstract":"The paper present aspects regarding importance of using cloud computing technology for big data processing from biosensors. The wireless sensors for personal area network have applications have been used in healthcare monitoring application. There are some limitations of wireless sensors in terms of memory, energy, computation, communication, scalability and efficient management of the big data collected from biosensors. In healthcare area is need for powerful and scalable high-performance computing and massive storage infrastructure for real-time processing, storing and analyzing (online or offline) of the biosensors data by using complex algorithms for extract required values from database. The patients can interact with hospitals or doctor in offline or online, but the data must be storage by using cloud computing technology because this allow computing, storage and software services (SaaS) with customization possibilities and virtualization at low cost. The Cloud Computing can provide an open, flexible, and reconfigurable platform (PaaS) for monitoring and controlling applications.","PeriodicalId":126559,"journal":{"name":"2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128928679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The benefits of data center temperature monitoring","authors":"M. Truşcă, S. Albert, M. Soran","doi":"10.1109/ROLCG.2015.7367417","DOIUrl":"https://doi.org/10.1109/ROLCG.2015.7367417","url":null,"abstract":"The temperature is an important parameter for the equipment functioning. Computer systems are designed to work best when the ambient temperature is in the range 20-23°C. This requirement is ensured by automated systems that maintain the temperature around the computer systems, regardless of varying the amount of heat dissipated in operating by them or the environmental temperature variation. In the present work the temperature has been monitored using integrated air conditioning systems, as well as measuring external systems. Air conditioning systems consume a high quantity of electricity and it is necessary to know and supervise this value, too. It has been considered the power consumption variation depending on the ambient temperature variation and a monitored premises. We tried to minimize energy consumption by modifying the temperature of the monitored system, depending on environmental parameters. In this paper we used a device to alert the user if there are changes in system operating parameters especially temperature variations, changes that could result in damage to the computers if is not taken immediate remedial measures obtaining the great benefits in computers using.","PeriodicalId":126559,"journal":{"name":"2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131168211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Suciu, Cristina Butca, Narcisa Mocanu, Stefan Arseni
{"title":"Cloud computing platform for applications in social-commercial area","authors":"G. Suciu, Cristina Butca, Narcisa Mocanu, Stefan Arseni","doi":"10.1109/ROLCG.2015.7367414","DOIUrl":"https://doi.org/10.1109/ROLCG.2015.7367414","url":null,"abstract":"While the society in which we find ourselves is evolving, people feel the constant need for change. This article aims to describe a mobile application whose main aim is help users get information about different products, both in terms of the vendor, but especially from the point of view of the consumer. The main contribution of this paper consists in the implementation of a mobile platform which allows a personalized achievement, having at their disposal a wide range of options, being possible the achievement of a user-friendly interface. The platform uses Google Cloud Messaging (GCM) for sending messages between user terminal and the server in which are stored data.","PeriodicalId":126559,"journal":{"name":"2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122311260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aileni Raluca Maria, Pașca Sever, Valderrama Carlos
{"title":"Biomedical sensors data fusion algorithm for enhancing the efficiency of fault-tolerant systems in case of wearable electronics device","authors":"Aileni Raluca Maria, Pașca Sever, Valderrama Carlos","doi":"10.1109/ROLCG.2015.7367228","DOIUrl":"https://doi.org/10.1109/ROLCG.2015.7367228","url":null,"abstract":"The paper presents multisensor data fusion process and algorithm modeling. The multisensor system consists in a set of heterogeneous medical sensors for biomedical electronics. Multisensor data fusion is based on artificial intelligence, pattern recognition and statistical estimation. The goal of the modeling is to reduce uncertainty of the data values tracked from sensors. The big data collected from sensors can contain also noisy data and repetitive one which can lead to inefficiencies in data storage. In this case is appropriate to reduce the errors by using algorithms and data fusion.","PeriodicalId":126559,"journal":{"name":"2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131443766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The development of distributed computing technologies and BigData in LIT-JINR","authors":"V. Korenkov, T. Strizh, G. Adam, D. Podgainy","doi":"10.1109/ROLCG.2015.7367227","DOIUrl":"https://doi.org/10.1109/ROLCG.2015.7367227","url":null,"abstract":"The main activities of the Laboratory of Information Technologies (LIT) of the Joint Institute for Nuclear Research (JINR) are addressed with emphasis on the development of distributed computing. The contribution of the LIT staff to the development of computational models for experiments done at the Large Hadron Collider (LHC) at CERN is briefly described. A brief overview is given of projects devoted to the development of distributed computations with LIT involvement in Russia, CERN, the USA, China, JINR Member States. Particular attention is devoted to the creation of a CMS Tier1 center in JINR and the development of computational models for the mega-project NICA. The report ends with the LIT work on the integration of the HPC, grid, cloud, and BigData technologies in large scale international projects.","PeriodicalId":126559,"journal":{"name":"2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115234608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Software and network issues in RO-16-UAIC site","authors":"Ciprian Pinzaru, Valeriu Vraciu, O. Rusu","doi":"10.1109/ROLCG.2015.7367427","DOIUrl":"https://doi.org/10.1109/ROLCG.2015.7367427","url":null,"abstract":"Grid computing and cloud technologies are used for distributed computing in scientific domains like physics, chemistry, biology, meteorology, earth sciences, engineering, industry, and even in army. In this paper the current status of Grid and High Performance (HPC) activities in RO-16-UAIC site will be presented. It is underlined the infrastructure and the results recently obtained at the RO-16-UAIC site, which supports grid production for the ATLAS virtual organization. The issue of EMI software upgrade for computing element and work nodes it is discussed. At upgrade of Torque software from 2.5 to 4.10 appeared some problems of incompatibility and dependency witch influenced the functionality of site grid. Other issues which is presented in the paper it is about the network problem of RO-16-UAIC in LHCONE network.","PeriodicalId":126559,"journal":{"name":"2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129623118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Control decisions in the Bayesian automatic adaptive quadrature","authors":"G. Adam, S. Adam","doi":"10.1109/ROLCG.2015.7367421","DOIUrl":"https://doi.org/10.1109/ROLCG.2015.7367421","url":null,"abstract":"Two topics in the Bayesian automatic adaptive quadrature are addressed. First, it is shown that the accuracy specifications controlling the error tolerance of the derived output need a twofold scrutiny: check of the input accuracy reliability and check for the need of integrand dependent accuracy bounds. Second, a criterion is proposed for the definition of the separation boundary between macroscopic and mesoscopic integration domain length which singles out the first ones as being free of cancellation by subtraction at the computation of the integration domain lengths.","PeriodicalId":126559,"journal":{"name":"2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG)","volume":"2 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120986641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Innovation capability - The main factor for wealth creation","authors":"A. Vadastreanu, A. Bot, F. Farcas, I. Szabó","doi":"10.1109/ROLCG.2015.7367430","DOIUrl":"https://doi.org/10.1109/ROLCG.2015.7367430","url":null,"abstract":"This paper draws together knowledge from a variety of fields to propose that innovation management can be viewed as a form of organizational capability. Excellent companies invest and nurture this capability, from which they execute effective innovation processes, leading to innovations in new product, services and processes, and superior business performance results. An extensive review of the literature on innovation management, along with a case study of Cisco Systems, develops a conceptual model of the firm as an innovation engine. This new operating model sees substantial investment in innovation capability as the primary engine for wealth creation, rather than the possession of physical assets. Building on the dynamic capabilities literature, an \"innovation capability\" construct is proposed with seven elements. These are vision and strategy, harnessing the competence base, organizational intelligence, creativity and idea management, organizational structures and systems, culture and climate, and management of technology.","PeriodicalId":126559,"journal":{"name":"2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132873342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}