TY - CONF T1 - Towards Addressing CPU-Intensive Seismological Applications in Europe T2 - International Supercomputing Conference Y1 - 2013 A1 - Michele Carpené A1 - I.A. Klampanos A1 - Siew Hoon Leong A1 - Emanuele Casarotti A1 - Peter Danecek A1 - Graziella Ferini A1 - Andre Gemünd A1 - Amrey Krause A1 - Lion Krischer A1 - Federica Magnoni A1 - Marek Simon A1 - Alessandro Spinuso A1 - Luca Trani A1 - Malcolm Atkinson A1 - Giovanni Erbacci A1 - Anton Frank A1 - Heiner Igel A1 - Andreas Rietbrock A1 - Horst Schwichtenberg A1 - Jean-Pierre Vilotte AB - Advanced application environments for seismic analysis help geoscientists to execute complex simulations to predict the behaviour of a geophysical system and potential surface observations. At the same time data collected from seismic stations must be processed comparing recorded signals with predictions. The EU-funded project VERCE (http://verce.eu/) aims to enable specific seismological use-cases and, on the basis of requirements elicited from the seismology community, provide a service-oriented infrastructure to deal with such challenges. In this paper we present VERCE’s architecture, in particular relating to forward and inverse modelling of Earth models and how the, largely file-based, HPC model can be combined with data streaming operations to enhance the scalability of experiments.We posit that the integration of services and HPC resources in an open, collaborative environment is an essential medium for the advancement of sciences of critical importance, such as seismology. JF - International Supercomputing Conference CY - Leipzig, Germany ER - TY - JOUR T1 - A Strategy for Research and Innovation in the Century of Information JF - Prometheus Y1 - 2009 A1 - e-Science Directors’ Forum Strategy Working Group A1 - Atkinson, M. A1 - Britton, D. A1 - Coveney, P. A1 - De Roure, D A1 - Garnett, N. A1 - Geddes, N. A1 - Gurney, R. A1 - Haines, K. A1 - Hughes, L. A1 - Ingram, D. A1 - Jeffreys, P. A1 - Lyon, L. A1 - Osborne, I. A1 - Perrott, P. A1 - Procter. R. A1 - Rusbridge, C. AB - More data will be produced in the next five years than in the entire history of human kind, a digital deluge that marks the beginning of the Century of Information. Through a year‐long consultation with UK researchers, a coherent strategy has been developed, which will nurture Century‐of‐Information Research (CIR); it crystallises the ideas developed by the e‐Science Directors’ Forum Strategy Working Group. This paper is an abridged version of their latest report which can be found at: http://wikis.nesc.ac.uk/escienvoy/Century_of_Information_Research_Strategy which also records the consultation process and the affiliations of the authors. This document is derived from a paper presented at the Oxford e‐Research Conference 2008 and takes into account suggestions made in the ensuing panel discussion. The goals of the CIR Strategy are to facilitate the growth of UK research and innovation that is data and computationally intensive and to develop a new culture of ‘digital‐systems judgement’ that will equip research communities, businesses, government and society as a whole, with the skills essential to compete and prosper in the Century of Information. The CIR Strategy identifies a national requirement for a balanced programme of coordination, research, infrastructure, translational investment and education to empower UK researchers, industry, government and society. The Strategy is designed to deliver an environment which meets the needs of UK researchers so that they can respond agilely to challenges, can create knowledge and skills, and can lead new kinds of research. It is a call to action for those engaged in research, those providing data and computational facilities, those governing research and those shaping education policies. The ultimate aim is to help researchers strengthen the international competitiveness of the UK research base and increase its contribution to the economy. The objectives of the Strategy are to better enable UK researchers across all disciplines to contribute world‐leading fundamental research; to accelerate the translation of research into practice; and to develop improved capabilities, facilities and context for research and innovation. It envisages a culture that is better able to grasp the opportunities provided by the growing wealth of digital information. Computing has, of course, already become a fundamental tool in all research disciplines. The UK e‐Science programme (2001–06)—since emulated internationally—pioneered the invention and use of new research methods, and a new wave of innovations in digital‐information technologies which have enabled them. The Strategy argues that the UK must now harness and leverage its own, plus the now global, investment in digital‐information technology in order to spread the benefits as widely as possible in research, education, industry and government. Implementing the Strategy would deliver the computational infrastructure and its benefits as envisaged in the Science & Innovation Investment Framework 2004–2014 (July 2004), and in the reports developing those proposals. To achieve this, the Strategy proposes the following actions: 1. support the continuous innovation of digital‐information research methods; 2. provide easily used, pervasive and sustained e‐Infrastructure for all research; 3. enlarge the productive research community which exploits the new methods efficiently; 4. generate capacity, propagate knowledge and develop skills via new curricula; and 5. develop coordination mechanisms to improve the opportunities for interdisciplinary research and to make digital‐infrastructure provision more cost effective. To gain the best value for money strategic coordination is required across a broad spectrum of stakeholders. A coherent strategy is essential in order to establish and sustain the UK as an international leader of well‐curated national data assets and computational infrastructure, which is expertly used to shape policy, support decisions, empower researchers and to roll out the results to the wider benefit of society. The value of data as a foundation for wellbeing and a sustainable society must be appreciated; national resources must be more wisely directed to the collection, curation, discovery, widening access, analysis and exploitation of these data. Every researcher must be able to draw on skills, tools and computational resources to develop insights, test hypotheses and translate inventions into productive use, or to extract knowledge in support of governmental decision making. This foundation plus the skills developed will launch significant advances in research, in business, in professional practice and in government with many consequent benefits for UK citizens. The Strategy presented here addresses these complex and interlocking requirements. VL - 27 ER - TY - CONF T1 - Data Locality Aware Strategy for Two-Phase Collective I/O T2 - VECPAR Y1 - 2008 A1 - Rosa Filgueira A1 - David E. Singh A1 - Juan Carlos Pichel A1 - Florin Isaila A1 - Jesús Carretero JF - VECPAR ER - TY - CONF T1 - OGSA-DAI 3.0 - The What's and Whys T2 - UK e-Science All Hands Meeting Y1 - 2007 A1 - Antonioletti, M. A1 - Hong, N. P. Chue A1 - Hume, A. C. A1 - Jackson, M. A1 - Karasavvas, K. A1 - Krause, A. A1 - Schopf, J. M. A1 - Atkinson, M. P. A1 - Dobrzelecki, B. A1 - Illingworth, M. A1 - McDonnell, N. A1 - Parsons, M. A1 - Theocharopoulous, E. JF - UK e-Science All Hands Meeting ER - TY - CONF T1 - Optimization and evaluation of parallel I/O in BIPS3D parallel irregular application T2 - IPDPS Y1 - 2007 A1 - Rosa Filgueira A1 - David E. Singh A1 - Florin Isaila A1 - Jesús Carretero A1 - Antonio Garcia Loureiro JF - IPDPS ER - TY - JOUR T1 - Database indexing for large DNA and protein sequence collections JF - VLDB J. Y1 - 2002 A1 - Hunt, Ela A1 - Atkinson, Malcolm P. A1 - Irving, Robert W. VL - 11 ER - TY - CONF T1 - A Database Index to Large Biological Sequences T2 - VLDB Y1 - 2001 A1 - Hunt, Ela A1 - Atkinson, Malcolm P. A1 - Irving, Robert W. JF - VLDB ER -