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G:Central soft matter simulation platform

Project G is a service project, which provides the centralized software platform ESPResSo++ for the development and optimization of codes, which are driven by the individual projects within the TRR. The goal is to collect new methods that have been developed in the TRR and include them into ESPResSo++, so that they can be used across the TRR, and also to optimize the TRR 146 codes to efficiently use modern high performance computing (HPC) resources. The G project will also provide the infrastructure for the scientific data management and will provide courses on data management, performance optimization and ESPResSo++.

ESPResSo++ 2.0: Advanced methods for multiscale molecular simulation
Horacio V. Guzman, Nikita Tretyakov, Hideki Kobayashi, Aoife C. Fogarty, Karsten Kreis, Jakub Krajniak, Christoph Junghans, Kurt Kremer, Torsten Stuehn
Computer Physics Communications238,66-76 (2019);

Scalable and fast heterogeneous molecular simulation with predictive parallelization schemes
Horacio V. Guzman, Christoph Junghans, Kurt Kremer, Torsten Stuehn
Physical Review E96 (5), (2017);

MERCURY: a Transparent Guided I/O Framework for High Performance I/O Stacks
Giuseppe Congiu, Matthias Grawinkel, Federico Padua, James Morse, Tim Süß and André Brinkmann
in 25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2017),IEEE Press (2017);

The performance gap between processors and I/O represents a serious scalability limitation for applications running on computing clusters. Parallel file systems often provide mechanisms that allow programmers to disclose their I/O pattern knowledge to the lower layers of the I/O stack through a hints API. This information can be used by the file system to boost the application performance. Unfortunately, programmers rarely make use of these features, missing the opportunity to exploit the full potential of the storage system. In this paper we propose MERCURY, a transparent guided I/O framework able to optimize file I/O patterns in scientific applications, allowing users to control the I/O behavior of applications without modifications. This is done by exploiting the hints API provided by the back-end file system to guide data prefetching. MERCURY efficiently converts numerous small read requests into a few larger requests. Furthermore, it increases the I/O bandwidth, reduces the number of I/O requests, and ultimately the application running time. Moreover, we also propose a Linux kernel modification that allows network file systems, specifically Lustre, to work with our guided I/O framework through the posix_fadvise interface.

Deduplication Potential of HPC Applications' Checkpoints
Jürgen Kaiser, Ramy Gad, Tim Süß, Federico Padua, Lars Nagel and André Brinkmann
in IEEE Int. Conf. on Cluster Computing (Cluster'16),Pages413--422,IEEE Press (2016);

Analysis of the ECMWF Storage Landscape
Matthias Grawinkel, Lars Nagel, Markus Mäsker, Federico Padua, André Brinkmann, Lennart Sorth
in Proceedings of the 13th USENIX Conference on File and Storage Technologies {FAST} 2015, Santa Clara, CA, USA,Pages15 - 27,Usenix (2015);

Optimizing scientific file {I/O} patterns using advice based knowledge
Giuseppe Congiu, Matthias Grawinkel, Federico Padua, James Morse, Tim Süß, André Brinkmann
in Proceedings of the International Conference on Cluster Computing (CLUSTER), Madrid, Spain,IEEE (2014);


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