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Simulating Data Access Profiles of Computational Jobs in Data Grids [article]

Volodimir Begy, Joeri Hermans, Martin Barisits, Mario Lassnig, Erich Schikuta
2019 arXiv   pre-print
The data access patterns of applications running in computing grids are changing due to the recent proliferation of high speed local and wide area networks.  ...  Instead, jobs may access the data employing arbitrary combinations of data-placement, stage-in and remote data access.  ...  [6] analyze the effect of application makespan and checkpointing period on Monte Carlo jobs in the European Grid Infrastructure.  ... 
arXiv:1902.10069v2 fatcat:nur67qkqpfbdxeympdbrn7ukmm

Simulating Data Access Profiles of Computational Jobs in Data Grids

Volodimir Begy, Joeri Hermans, Martin Barisits, Mario Lassnig, Erich Schikuta
2019 2019 15th International Conference on eScience (eScience)  
The data access patterns of applications running in computing grids are changing due to the recent proliferation of high speed local and wide area networks.  ...  Instead, jobs may access the data employing arbitrary combinations of data-placement, stage-in and remote data access.  ...  [6] analyze the effect of application makespan and checkpointing period on Monte Carlo jobs in the European Grid Infrastructure.  ... 
doi:10.1109/escience.2019.00051 dblp:conf/eScience/BegyHBLS19 fatcat:bq2ytusqhvgpniktsw57q35cpa

Planning Tools for the Integration of Renewable Energy Sources Into Low- and Medium-Voltage Distribution Grids [chapter]

Jean-François Toubeau, Vasiliki Klonari, Jacques Lobry, Zacharie De Greve, François Vallée
2016 Renewable Energy - Utilisation and System Integration  
Practically, this tool aims at finding the optimal positioning and sizing of the devices designed to improve the operation of the distribution grid.  ...  Both tools use Monte Carlo algorithms in order to simulate the distribution network, taking into account the stochastic nature of the loading parameters at its nodes.  ...  These methodologies are based on analytical or numerical approaches, such as the Monte Carlo simulation, aiming at simulating the uncertainty of PV injection and residential loads.  ... 
doi:10.5772/61758 fatcat:fkrbt6x4szebzdvnnrf5wtooei

A Virtual Imaging Platform for Multi-Modality Medical Image Simulation

T. Glatard, C. Lartizien, B. Gibaud, Rafael Ferreira da Silva, G. Forestier, F. Cervenansky, M. Alessandrini, H. Benoit-Cattin, O. Bernard, S. Camarasu-Pop, N. Cerezo, P. Clarysse (+8 others)
2013 IEEE Transactions on Medical Imaging  
This paper presents the Virtual Imaging Platform (VIP), a platform accessible at http://vip.creatis.insa-lyon.fr to facilitate the sharing of object models and medical image simulators, and to provide  ...  A complete overview is presented, describing the ontologies designed to share models in a common repository, the workflow template used to integrate simulators, and the tools and strategies used to exploit  ...  ACKNOWLEDGMENT This work is funded by the French National Research Agency (ANR) under grant ANR-09-COSI-03. We thank the European Grid Initiative and "France-Grilles".  ... 
doi:10.1109/tmi.2012.2220154 pmid:23014715 fatcat:rrlkowdhxvcyzhol6mlmpz6x2i

A Simulation-Optimization Approach for the Household Energy Planning Problem Considering Uncertainty in Users Preferences [chapter]

Diego Gabriel Rossit, Sergio Nesmachnow, Jamal Toutouh, Francisco Luna
2021 Communications in Computer and Information Science  
-003, European Union H2020-ICT-2019-3, and the Systems that Learn Initiative at MIT CSAIL.  ...  Toutouh research was partially funded by European Union's Horizon 2020 research and innovation program under the Marie Sk lodowska-Curie grant agreement No 799078, by the Junta de Andalucía UMA18-FEDERJA  ...  A stochastic procedure based on Monte Carlo simulation was applied to the resulting solution.  ... 
doi:10.1007/978-3-030-76310-7_20 fatcat:ymii54ygjfcmllm62x6blh4fhu

GRID SIMULATION SERVICES FOR THE MEDICAL COMMUNITY

GUNTRAM BERTI, GUY LONSDALE, JENS GEORG SCHMIDT, SIEGFRIED BENKNER, D. RODNEY HOSE, JOHN W. FENNER, DAVID M. JONES, STUART E. MIDDLETON, GERT WOLLNY
2008 International Journal of Computational Methods  
The first part of this paper presents a selection of medical simulation applications, including image reconstruction, near real-time registration for neuro-surgery, enhanced dose distribution calculation  ...  for radio-therapy, inhaled drug delivery prediction, plastic surgery planning and cardio-vascular system simulation.  ...  Acknowledgments The projects SimBio and GEMSS project were funded by the European Commission under Grants IST-1999-10378 and IST-2001-37153.  ... 
doi:10.1142/s0219876208001479 fatcat:rk6yikuo4jcatjvbw2auo3efua

Data Innovation Spaces [chapter]

Daniel Alonso
2021 The Elements of Big Data Value  
European Innovation Spaces (or i-Spaces for short) are the main elements to ensure that research on big data value technologies and novel applications can be quickly tested, piloted and exploited for the  ...  aspect to fully unleash the potential of data to support the uptake of European AI and related technologies.  ...  Several project partners will work on the simulation model with real dispatching operation data.  ... 
doi:10.1007/978-3-030-68176-0_9 fatcat:dqvphvrsozbclabrw5yat6yiii

Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer [article]

Sydney Otten, Sascha Caron, Wieske de Swart, Melissa van Beekveld, Luc Hendriks, Caspar van Leeuwen, Damian Podareanu, Roberto Ruiz de Austri, Rob Verheyen
2021 arXiv   pre-print
are in very good agreement with real Monte Carlo events and are generated several orders of magnitude faster.  ...  We present a study for the generation of events from a physical process with deep generative models.  ...  FIG. 5 5 : δ OF for several models and Monte Carlo data. a) and b) show the fraction of empty bins f e plotted versus √ N bins for 1.1 million events from the Monte Carlo data and several models. c) shows  ... 
arXiv:1901.00875v5 fatcat:6snyq77tlzfxhjhdd3fu7bndau

Scalable Management of Heterogeneous Cloud Resources Based on Evolution Strategies Algorithm

Petra Loncar, Paula Loncar
2022 IEEE Access  
Our approach proposes a strategy for optimizing task scheduling across different virtual machines and data centers based on the metaheuristic Evolution Strategies algorithm.  ...  The emergence and rapid development of Cloud computing have intensively changed the Information Technology paradigm. Cloud computing found its wide application in science and engineering.  ...  The data of one proton-lead (p-Pb) Monte Carlo production master job from the current datataking period (February 2022) have been extracted from the ALICE grid monitoring system.  ... 
doi:10.1109/access.2022.3185987 fatcat:dxqyrf6gjrgrjlctbg4jl3gco4

Report from the A.I. For Nuclear Physics Workshop [article]

Paulo Bedaque, Amber Boehnlein, Mario Cromaz, Markus Diefenthaler, Latifa Elouadrhiri, Tanja Horn, Michelle Kuchera, David Lawrence, Dean Lee, Steven Lidia, Robert McKeown, Wally Melnitchouk (+6 others)
2020 arXiv   pre-print
This report is an outcome of the workshop "AI for Nuclear Physics" held at Thomas Jefferson National Accelerator Facility on March 4-6, 2020.  ...  The report includes the workshop deliberations and additional contributions to describe prospects for using AI across Nuclear Physics research.  ...  AI for event generators Monte Carlo event generators describe collision processes through a combination of theory and phenomenological models.  ... 
arXiv:2006.05422v2 fatcat:z3svctuwqbd53nr27xuusx27j4

Research and Education in Computational Science and Engineering [article]

Ulrich Rüde, Karen Willcox, Lois Curfman McInnes, Hans De Sterck, George Biros, Hans Bungartz, James Corones, Evin Cramer, James Crowley, Omar Ghattas, Max Gunzburger, Michael Hanke, Robert Harrison (+20 others)
2018 arXiv   pre-print
the applications to new frontiers---is redefining the scope and reach of the CSE endeavor.  ...  Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data.  ...  [44] and the European Exascale Software Initiative [39] .  ... 
arXiv:1610.02608v4 fatcat:7qiqiajd7vcstditmztqxwwtx4

Power System Resilience to Extreme Weather: Fragility Modeling, Probabilistic Impact Assessment, and Adaptation Measures

Mathaios Panteli, Cassandra Pickering, Sean Wilkinson, Richard Dawson, Pierluigi Mancarella
2017 IEEE Transactions on Power Systems  
A probabilistic multi-temporal and multi-regional resilience assessment methodology, based on optimal power flow and sequential Monte Carlo simulation, is then introduced, allowing the assessment of the  ...  Specifically, a fragility model of individual components and then of the whole transmission system is built for mapping the real-time impact of severe weather, with focus on wind events, on their failure  ...  ACKNOWLEDGEMENT The authors would like to thank the UK Engineering and Physical Sciences Research Council (EPSRC) for the support to conduct this research through the "Resilient Electricity Networks for  ... 
doi:10.1109/tpwrs.2016.2641463 fatcat:f6qyu4wuubf35mo4qbbcpnp7gi

Program

2021 2021 IEEE Electrical Power and Energy Conference (EPEC)  
After the session, you'll also have the option to submit a brief writing sample to receive individual feedback.  ...  For this, we combine a realistic and comprehensive model of a campus grid with a microgrid model to investigate the benefits and limitations of the different connection approaches. 13:20 Evaluating a  ...  The efficacy and a detailed statistical analysis of the proposed scheme are studied on a balanced secondary distribution system against 1,000 random load profiles through Monte-Carlo simulations which  ... 
doi:10.1109/epec52095.2021.9621539 fatcat:epghnj4fk5exrc5jggotiinpnq

Fault Location Dependency of Short-Circuit Currents in MMC based Meshed HVDC Cable Systems

Anna Pfendler, Andreas Saciak, Jutta Hanson, Gerd Balzer
2019 2019 IEEE Milan PowerTech  
Cadorna railway station Connection with subway lines 1 and 2, train to Malpensa Airport T1 and T2 Milano Centrale railway station Connection with subway lines 2 and 3, train to Malpensa Airport T1 and  ...  T2 and buses to Linate and Orio al Serio Airports Porta Garibaldi railway station Connection with subway lines 2 and 5, with Passante Ferroviario (Urban Railway Lines) and train to Malpensa Airport T1  ...  Control Grids in Energy Hybrid Operation and Control Advanced Methods for -Advanced Methods Systems Integration --DC Grids: Modeling System Modeling and for Power Systems Optimization of Energy and Operation  ... 
doi:10.1109/ptc.2019.8810935 fatcat:nkvo2dg3fvejjm4srk3k23uwga

Research and Education in Computational Science and Engineering

Ulrich Rüde, Karen Willcox, Lois Curfman McInnes, Hans De Sterck
2018 SIAM Review  
required to follow the applications to new frontiers-is redefining the scope and reach of the CSE endeavor.  ...  However, a combination of disruptive developments-including the architectural complexity of extreme-scale computing, the data revolution and increased attention to data-driven discovery, and the specialization  ...  This report is an outcome of a workshop in August 2014 on Future Directions in CSE Education and Research, sponsored by the Society for Industrial and Applied Mathematics (http://www.siam.org) and the  ... 
doi:10.1137/16m1096840 pmid:30287973 pmcid:PMC6168210 fatcat:uogrxxc4bvdxlnmeo7racudchi
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