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Parameter Exploration in Science and Engineering Using Many-Task Computing

D Abramson, B Bethwaite, C Enticott, S Garic, T Peachey
2011 IEEE Transactions on Parallel and Distributed Systems  
This is embodied in a new Kepler 'Director' that supports many task computing by orchestrating execution of tasks on on clusters, Grids and Clouds.  ...  Further, scientific workflow engines facilitate the specification and execution of complex software pipelines, such as those found in real science and engineering design problems.  ...  We also acknowledge the US NSF funded PRIME project, (supporting Amirriazi and Chitters) and thank colleagues, in particular Peter Arzberger, for their strong support.  ... 
doi:10.1109/tpds.2010.177 fatcat:l3zisflzdneongdiazefguyg6m

Guest Editors' Introduction: Special Section on Many-Task Computing

Ioan Raicu, Ian T. Foster, Yong Zhao
2011 IEEE Transactions on Parallel and Distributed Systems  
MTC differs from HTC in its emphasis on using many computing resources over short periods of time to accomplish many computational tasks (both dependent and independent), for which primary metrics are  ...  We introduce the term many-task computing (MTC) [2] for computations that bridge the gap between high-performance computing (HPC) and high-throughput computing (HTC) [1] .  ...  ACKNOWLEDGMENTS This work was supported in part by the US Department of Energy (DOE) under Contract DE-AC02-06CH11357 and the US National Science Foundation grant NSF-0937060 CIF-72.  ... 
doi:10.1109/tpds.2011.138 fatcat:zfnwm7fmuvefbimbgeg2zsaqn4

Towards A Methodology and Framework for Workflow-Driven Team Science [article]

Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus
2019 arXiv   pre-print
and scalable activities in the scientific process.  ...  However, data and computing advances continuously change the way scientific workflows get developed and executed, pushing the scientific activity to be more data-driven, heterogeneous and collaborative  ...  The authors would also like to thank Workflows for Data Science (WorDS) Center of Excellence team members Mai Nguyen and Volkan Vural for their participation in the discussions leading to this paper.  ... 
arXiv:1903.01403v1 fatcat:ubbe6qk5kfb77erhetvp25jele

Robust workflows for science and engineering

David Abramson, Blair Bethwaite, Colin Enticott, Slavisa Garic, Tom Peachey, Anushka Michailova, Saleh Amirriazi, Ramya Chitters
2009 Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers - MTAGS '09  
Scientific workflow tools allow users to specify complex computational experiments and provide a good framework for robust science and engineering.  ...  We also acknowledge the US NSF funded PRIME project, (supporting Amirriazi and Chitters) and thank colleagues, in particular Peter Arzberger, for their strong support.  ...  ACKNOWLEDGEMENTS This project is supported by the Australian Research Council under the Discovery grant scheme We acknowledge our colleagues in the MeSsAGE Lab at Monash University and the Cardiac Mechanics  ... 
doi:10.1145/1646468.1646469 dblp:conf/sc/AbramsonBEGPMAC09 fatcat:dgg75z7ktnatbmaqddyp2bpoaq

Dependency Graph Based on User Taxonomy and Related Parameters for more Efficient Collaborative Work

Franca Alexandra Rupprecht, François M. Torner, Jörg Seewig, Achim Ebert
2017 Applied Mechanics and Materials  
Therefore, a set of parameters will be introduced, which help to find out how good tasks and work packages are distributed within the network.  ...  Based on a case study, the findings of this work are embedded and combined in an interactive and intuitive user interface that facilitates planners to recognize and explore complex multi-dimensional networks  ...  Acknowledgements This research was funded by the German research foundation (DFG) within the IRTG 2057 "Physical Modeling for Virtual Manufacturing Systems and Processes."  ... 
doi:10.4028/ fatcat:l2q7zcj4ijcv7c23bgdx5ep5nm

Dataflow coordination of data-parallel tasks via MPI 3.0

Justin M. Wozniak, Tom Peterka, Timothy G. Armstrong, James Dinan, Ewing Lusk, Michael Wilde, Ian Foster
2013 Proceedings of the 20th European MPI Users' Group Meeting on - EuroMPI '13  
By combining this framework with data-parallel analysis libraries, we are able to dynamically execute many instances of a parallel data analysis application in support of a parameter exploration workload  ...  Scientific applications are often complex collections of many large-scale tasks.  ...  Computing resources were provided by the Mathematics and Computer Science Division and Argonne Leadership Computing Facility at Argonne National Laboratory.  ... 
doi:10.1145/2488551.2488561 dblp:conf/pvm/WozniakPADLWF13 fatcat:uml6fh3a6jf4nhzoitq5xrveoi

Evaluating on the Transfer Learning of CNN Architectures to a Construction Material Image Classification Task

Supaporn Bunrit, The authors are with the School of Computer Engineering, SUT, Thailand, Nittaya Kerdprasop, Kittisak Kerdprasop
2019 International Journal of Machine Learning and Computing  
The more the preciseness in automatic classifying, the more the exactness in assessment of each material had been used.  ...  The pre-trained CNN architectures of AlexNet and GoogleNet are adopt with the task of construction material images classification in the concept of transfer learning.  ...  doctoral degree in computer science from Nova Southeastern University, U.S.A, in 1999.  ... 
doi:10.18178/ijmlc.2019.9.2.787 fatcat:jvs7dm7y2ffwnlcww673hzypgy

ExpoCloud: a Framework for Time and Budget-Effective Parameter Space Explorations Using a Cloud Compute Engine [article]

Meir Goldenberg
2022 arXiv   pre-print
Large parameter space explorations are among the most time consuming yet critically important tasks in many fields of modern research.  ...  ExpoCloud enables the researcher to harness cloud compute resources to achieve time and budget-effective large-scale concurrent parameter space explorations.  ...  Acknowledgements Access to the Google Compute Engine was provided through the Israel Data Science Initiative.  ... 
arXiv:2208.12195v2 fatcat:anmv2whkd5bsxofx36sfu3clga

Federated Computing for the Masses--Aggregating Resources to Tackle Large-Scale Engineering Problems

Javier Diaz-Montes, Yu Xie, Ivan Rodero, Jaroslaw Zola, Baskar Ganapathysubramanian, Manish Parashar
2014 Computing in science & engineering (Print)  
An exploration of the use of aggregated high-performance computing resources to solve large-scale engineering problems shows that it's possible to build a computational federation that's easy for users  ...  The fusion of federated computing and real-life engineering problems is brought to the average user by providing relevant middleware.  ...  Acknowledgments This work is supported in part by the US National Science Foundation (NSF) under grants ACI 1339036, IIP-0758566, DMS-0835436, CAREER-1149365, PHY-0941576, CBET-1307743, CBET-1306866, and  ... 
doi:10.1109/mcse.2013.134 fatcat:rtzqe2eb5fcsjpgqpeqyzmy6n4

Research Status and Development Trend of Bioheuristic Computing

zhijun Chai, Zhao Li
2019 IOP Conference Series: Materials Science and Engineering  
model and computing method, so as to serve the scientific research and engineering application of human society.  ...  A few future directions and research challenges are presented, such as parallel bio-in-spired computation, bio-inspired computation with reasoning and knowledge, bio-inspired dynamics computation, bio-inspired  ...  Prospect of application of biological heuristic computing Since its inception, bioheuristic computing has been widely used in many fields of natural science and engineering science, and has shown great  ... 
doi:10.1088/1757-899x/646/1/012040 fatcat:kifjbw7ou5acpm4weph564cbji


Craig Schlenoff, Stephen Balakirsky, Henrik Christensen
2018 Integrated Computer-Aided Engineering  
Craig Schlenoff National Institute of Standards and Technology  ...  This special issue focuses on both theoretical and practical contributions of applying these techniques to improving the agility of robotic systems from an engineering and computer science perspective.  ...  Many computer-aided engineering approaches are beginning to show promise in helping robots become more agile, including techniques such as machine learning, cognitive modeling, artificial intelligence,  ... 
doi:10.3233/ica-180570 pmid:31093004 pmcid:PMC6512829 fatcat:morolgzbvfhz3kkzbjr7gzppd4

Path Planning Of A Robot Manipulator Using Retrieval Rrt Strategy

K. Oh, J. P. Hwang, E. Kim, H. Lee
2007 Zenodo  
This paper presents an algorithm which extends the rapidly-exploring random tree (RRT) framework to deal with change of the task environments.  ...  This algorithm called the Retrieval RRT Strategy (RRS) combines a support vector machine (SVM) and RRT and plans the robot motion in the presence of the change of the surrounding environment.  ...  International Science Index, Electrical and Computer Engineering Vol:1, No:1, 2007 Path Planning of a Robot Manipulator using Retrieval RRT Strategy K. Oh, J. P.  ... 
doi:10.5281/zenodo.1073355 fatcat:fjtr24clkvgh5mtsho234wk5vi

The Virtual Instrument: Support for Grid-Enabled Mcell Simulations

Henri Casanova, Francine Berman, Thomas Bartol, Erhan Gokcay, Terry Sejnowski, Adam Birnbaum, Jack Dongarra, Michelle Miller, Mark Ellisman, Marcio Faerman, Graziano Obertelli, Rich Wolski (+2 others)
2004 The international journal of high performance computing applications  
While MCell provides the basis for running simulations, its capabilities are currently limited in terms of scale, ease-of-use, and interactivity.  ...  This work is performed in the specific context of MCell, a computational biology application.  ...  This category of applications encompasses many methodologies such as Monte Carlo simulations, parametric studies, and parameter searches, and arises in many fields of science and engineering.  ... 
doi:10.1177/1094342004041290 pmid:20689618 pmcid:PMC2916200 fatcat:suth3gpw7vcprpi45ix6bzmhvu

Mathematical modelling in science and mathematics education

Vítor Duarte Teodoro, Rui Gomes Neves
2011 Computer Physics Communications  
However, computational methods and tools are still far from being appropriately integrated in the high school and university curricula in science and mathematics.  ...  Modellus allows students to create and explore mathematical models using functions, differential and iterative equations, and visualize the behaviour of mathematical objects.  ...  Acknowledgements Work partially supported by Unidade de Investigação Educação e Desenvolvimento (UIED) and Fundação para a Ciência e a Tecnologia (FCT), Programa Compromisso com a Ciência 2007.  ... 
doi:10.1016/j.cpc.2010.05.021 fatcat:vzln3op5vfafbpp2iqtx47y6ry

Provenance for Visualizations: Reproducibility and Beyond

Claudio T. Silva, Juliana Freire, Steven P. Callahan
2007 Computing in science & engineering (Print)  
The demand for the construction of complex visualizations is growing in many disciplines of science, as users are faced with ever increasing volumes of data to analyze.  ...  The authors present VisTrails, an open source provenance-management system that provides infrastructure for data exploration and visualization.  ...  The US National Science Foundation partially supported this work under grants IIS-0513692, CCF-0401498, EIA-0323604, CNS-0541560, OCE-0424602, and OISE-0405402.  ... 
doi:10.1109/mcse.2007.106 fatcat:hqkcl2jllzemtdj2pl73tapc5e
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