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Priority Programme "Algorithms for Big Data" (SPP 1736)
Termin:
12.10.2016
Fördergeber:
Deutsche Forschungsgemeinschaft (DFG)
The Senate of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) has established the Priority Programme "Algorithms for Big Data" (SPP 1736) in 2013. The programme will run for six years. Applications are now invited for the second three-year funding period which will start in 2017.
While it is getting more and more difficult to build faster processors, the hardware industry keeps on increasing the number of processors/cores per board or graphics card, and also invests into improved storage technologies. However, all these investments are in vain, if we lack algorithmic methods that are able to efficiently utilise additional processors or memory features.
This is where the new Priority Programme wants to improve the situation by bringing together expertise from different areas. On the one hand recent hardware developments and technological challenges need to be appropriately captured in better computational models. On the other hand, both common and problem specific algorithmic challenges due to big data are to be identified and clustered.
Concrete challenges include (but are not limited to) algorithmic exploitation of parallelism (multi-cores, GPUs, parallel and distributed systems, etc.), handling external and outsourced memory as well as memory-hierarchies (clouds, distributed storage systems, hard-disks, flash-memory, etc.), dealing with large scale dynamic data updates, processing compressed data, approximation and online processing under resource constraints, increasing the robustness of computations (e.g., concerning data faults, inaccuracies, or attacks) or reducing the consumption of energy by algorithmic measures.
Proposals on big data aspects should therefore involve a significant non-numerical algorithmic com-ponent. The benefits of the single proposals for the Priority Programme should become visible. In particular, proposals are welcome that focus on problems where big data require a paradigm shift in order to handle them. Classic scientific computing (numerical simulations, etc.) and algorithmic re-search (i.e., find solutions with low runtime in the RAM model), or applications with small to medium input data sizes are not in the focus.
Proposals for the second maximum three-year funding period must be submitted electronically to the DFG by 12 October 2016 (Deadline 24:00) via its elan system.
Registration must be completed by 10 October 2016 in order to submit a proposal.
Further Information
The DFG's electronic portal "elan" can be found at: https://elan.dfg.de
For scientific enquiries please contact the coordinator of the Priority Programme:
Professor Dr. Ulrich Meyer, Goethe-Universität Frankfurt, Institut für Informatik,
phone +49 69 798-28433, umeyer@cs.uni-frankfurt.de,
For questions regarding scientific aspects please contact:
Dr. Simon Jörres, DFG, phone +49 228 885-2971, simon.joerres@dfg.de
For general questions please contact:
Anne Himmes, DFG, phone +49 228 885-2470, anne.himmes@dfg.de
Weitere Informationen:
http://dfg.de/foerderung/info_wissenschaft/ausschreibungen/info_wissenschaft_16_40/index.html
While it is getting more and more difficult to build faster processors, the hardware industry keeps on increasing the number of processors/cores per board or graphics card, and also invests into improved storage technologies. However, all these investments are in vain, if we lack algorithmic methods that are able to efficiently utilise additional processors or memory features.
This is where the new Priority Programme wants to improve the situation by bringing together expertise from different areas. On the one hand recent hardware developments and technological challenges need to be appropriately captured in better computational models. On the other hand, both common and problem specific algorithmic challenges due to big data are to be identified and clustered.
Concrete challenges include (but are not limited to) algorithmic exploitation of parallelism (multi-cores, GPUs, parallel and distributed systems, etc.), handling external and outsourced memory as well as memory-hierarchies (clouds, distributed storage systems, hard-disks, flash-memory, etc.), dealing with large scale dynamic data updates, processing compressed data, approximation and online processing under resource constraints, increasing the robustness of computations (e.g., concerning data faults, inaccuracies, or attacks) or reducing the consumption of energy by algorithmic measures.
Proposals on big data aspects should therefore involve a significant non-numerical algorithmic com-ponent. The benefits of the single proposals for the Priority Programme should become visible. In particular, proposals are welcome that focus on problems where big data require a paradigm shift in order to handle them. Classic scientific computing (numerical simulations, etc.) and algorithmic re-search (i.e., find solutions with low runtime in the RAM model), or applications with small to medium input data sizes are not in the focus.
Proposals for the second maximum three-year funding period must be submitted electronically to the DFG by 12 October 2016 (Deadline 24:00) via its elan system.
Registration must be completed by 10 October 2016 in order to submit a proposal.
Further Information
The DFG's electronic portal "elan" can be found at: https://elan.dfg.de
For scientific enquiries please contact the coordinator of the Priority Programme:
Professor Dr. Ulrich Meyer, Goethe-Universität Frankfurt, Institut für Informatik,
phone +49 69 798-28433, umeyer@cs.uni-frankfurt.de,
For questions regarding scientific aspects please contact:
Dr. Simon Jörres, DFG, phone +49 228 885-2971, simon.joerres@dfg.de
For general questions please contact:
Anne Himmes, DFG, phone +49 228 885-2470, anne.himmes@dfg.de
Weitere Informationen:
http://dfg.de/foerderung/info_wissenschaft/ausschreibungen/info_wissenschaft_16_40/index.html