Resilient workflows for cooperative design

Nguyên, Toàn; Trifan, Laurentiu; Désidéri, Jean‐Antoine

doi:10.1109/cscwd.2011.5960057

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…The Disaster Simulation system [29] assesses the evolution and impact of various physical phenomena, in domains such nuclear and environmental science. Aircraft industries use large scale multi-physics applications (aircraft flight dynamics simulation) to reduce the time of development [30]. The Ensemble Kalman Filter (EnKF) method is an important application in the petroleum industry for reservoir and groundwater modelling, and is used for operational monitoring and prediction [31].…”

Section: Discussionmentioning

confidence: 99%

Reducing Time Delays in Computing Numerical Weather Models at Regional and Local Levels : A Grid-Based Approach

Almeida¹,

Bauer²

2012

IJGCA

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This paper introduces a grid-based approach to reduce the time to deliver local meteorological forecast information. The computation of local meteorological forecasts relies on the execution of both regional and local scale Numerical Weather Prediction models. Typically, such models require extensive computation on large compute clusters. Moreover, the models are commonly executed sequentially, since local models rely on the output of a regional model. The approach introduced in this paper, modifies the computational dependencies in order to compute the models more in parallel while ensuring that computational results are appropriately synchronized. We evaluate the method in a high performance computing grid using the Brazilian Regional Atmospheric Modelling System (BRAMS). The experimental results show a reduction of up to 71 % in the time to deliver local meteorological information with this approach. The approach is sufficiently general that it can be useful with other large distributed applications.

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Section: Discussionmentioning

confidence: 99%

Reducing Time Delays in Computing Numerical Weather Models at Regional and Local Levels : A Grid-Based Approach

Almeida¹,

Bauer²

2012

IJGCA

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“…They can involve complex processing, possibly requiring data to go sequentially through a series of different software, possibly taking days to compute. To minimize the risk of failure, it has been suggested that workflows should be broken down in smaller steps and use checkpoints systems (Gross et al 2008;Nguyên, Trifan, and Désidéri 2011). In some cases, workflows can be saved as templates, exported, and shared for reuse (Bergmann, Demuth, and Sander 2011).…”

Section: How Is Scientific Software Developed and Used?mentioning

confidence: 99%

The Lens of the Lab: Design Challenges in Scientific Software

Queiroz¹,

Spitz²

2016

The International Journal of Design Management and Professional

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Playful and gameful design could improve the quality of scientific software. However, literature about gamification methods for that particular type of software is presently scarce. As an effort to fill that gap, this paper introduces a set of design challenges and opportunities that should be informative to professionals approaching the area. This research is based on literature review on scientific software development, also contemplating material on the gamification of science, software, and work. From the gathered information, we identify, map, and discuss key aspects of development and use of professional scientific software. Those findings are, then, formatted as a Design Lens-a set of questions designers should ask themselves to gain insight, from a particular perspective, on their work. We prop ose the Lens of the Lab as a design lens to support designers working in collaboration with scientists and software engineers in professional scientific software initiatives.

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