"This new approach builds on research in the computer science community over the past 40 years. For much of that time, many claimed this line of work was of academic interest, but of no practical relevance. Daniel's paper has shown how it has real application in tackling some of the key challenges facing the world today, such as climate change," says Professor Paul Watson of Newcastle University who chaired the AHM programme committee.
The BBC Climate Change Experiment is working with climateprediction.net, a major UK e-Science project funded by the Natural Environment Research Council. More than 200,000 people worldwide are participating in the experiment by donating spare capacity on their computers to run models of the Earth's climate.
As the dataset containing all model runs is too big to return to one location for analysis, it is stored on a number of servers in different locations worldwide. The challenge arises because the number of pieces this dataset is split into varies for a range of reasons, including the addition or removal of servers from the experiment, and the sub-setting of runs required for a given query. Climateprediction.net needed a way of analysing the data in situ that could also cope automatically with changes to the location or sub-division of data.
"Existing workflow languages are not up to the task because they implement a style of programming where the number of data inputs and the paths of data flow through the workflow are set when the workflow is submitted. This makes them unable to cope with subsequent changes to the dataset," says Daniel. He turned to constructs inspired from functional programming to solve the problem. These allow the workflow to adjust to the requirements of the data at run time and mean that changes to the way in which a dataset is split can be accommodated dynamically, so removing the need for users to keep adjusting their workflows.
Martlet has potential for use in many e-Science applications which distribute data between servers in a similar way to climateprediction.net. Its development also suggests that there could be other powerful new algorithms awaiting discovery once people start to think in terms of this alternative programming model. "Daniel's work has shown how work on core computer science can be used to meet the exciting challenges generated by e-Science applications. He has demonstrated how taking a different approach to organising the way in which tasks are executed can produce scientific results much more quickly," says Paul Watson.
Matt Goode | alfa
New 3-D display takes the eye fatigue out of virtual reality
22.06.2017 | The Optical Society
Modeling the brain with 'Lego bricks'
19.06.2017 | University of Luxembourg
Heatwaves in the Arctic, longer periods of vegetation in Europe, severe floods in West Africa – starting in 2021, scientists want to explore the emissions of the greenhouse gas methane with the German-French satellite MERLIN. This is made possible by a new robust laser system of the Fraunhofer Institute for Laser Technology ILT in Aachen, which achieves unprecedented measurement accuracy.
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Hydrogen is regarded as the energy source of the future: It is produced with solar power and can be used to generate heat and electricity in fuel cells. Empa researchers have now succeeded in decoding the movement of hydrogen ions in crystals – a key step towards more efficient energy conversion in the hydrogen industry of tomorrow.
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Scientists from the Excellence Cluster Universe at the Ludwig-Maximilians-Universität Munich have establised "Cosmowebportal", a unique data centre for cosmological simulations located at the Leibniz Supercomputing Centre (LRZ) of the Bavarian Academy of Sciences. The complete results of a series of large hydrodynamical cosmological simulations are available, with data volumes typically exceeding several hundred terabytes. Scientists worldwide can interactively explore these complex simulations via a web interface and directly access the results.
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Temperature measurements possible even on the smallest scale / Molecular ruby for use in material sciences, biology, and medicine
Chemists at Johannes Gutenberg University Mainz (JGU) in cooperation with researchers of the German Federal Institute for Materials Research and Testing (BAM)...
Germany counts high-precision manufacturing processes among its advantages as a location. It’s not just the aerospace and automotive industries that require almost waste-free, high-precision manufacturing to provide an efficient way of testing the shape and orientation tolerances of products. Since current inline measurement technology not yet provides the required accuracy, the Fraunhofer Institute for Laser Technology ILT is collaborating with four renowned industry partners in the INSPIRE project to develop inline sensors with a new accuracy class. Funded by the German Federal Ministry of Education and Research (BMBF), the project is scheduled to run until the end of 2019.
New Manufacturing Technologies for New Products
19.06.2017 | Event News
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22.06.2017 | Materials Sciences
22.06.2017 | Materials Sciences