This section gives an overview on all acadmic publications, keynotes, talks and posters related to the DEEP projects.



E. Erlingsson, G. Cavallaro, M. Riedel, H. Neukirchen
Scalable Workflows for Remote Sensing Data Processing with the DEEP-EST Modular Supercomputing Architecture
Publication in conference proceedings 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019, Japan

Marcos Maroñas, Sergi Mateo, Kai Keller, Leonardo Bautista-Gomez, Eduard Ayguadé, Vicenç Beltran
Extending the OpenCHK Model with advanced checkpoint features
Article in journal Future Generation Computer Systems, Vol, 112, 2020

S. M. Crook, A. P. Davison, R. A. McDougal, H. E. Plesser
Editorial: Reproducibility and Rigour in Computational Neuroscience
Article in Journal Frontiers in Neuroinformatics, 2020

J. Jordan, M. Helias, M. Diesmann and S. Kunkel
Efficient communication in distributed simulations of spiking neuronal networks with gap junctions
Article in journal Frontiers in Neuroinformatics, 2020

A. Jokanovic and J. Corbalan
Enabling flexible job scheduling for heterogeneous modular supercomputers
Publication in conference proceedings AdvCompBio2019, 2020, Spain

G.T. Einevoll, A. Destexhe, M. Diesmann, S. Grün, V. Jirsa, M. de Kamps, M. Migliore, T.V. Ness, H.E. Plesser, F. Schürmann
The Scientific Case for Brain Simulations
Article in journal "Neuron", Vol 102, Issue 4, pp 735-744, 2019

E. Suarez, N. Eicker, Th. Lippert
Modular Supercomputing Architecture: from idea to production
Article Contemporary High Performance Computing: from Petascale toward Exascale Vol 3, Chapter 9, p. 223-251, 2019, USA

Aleix Roca Nonell, Balazs Gerofi, Leonardo Bautista-Gomez, Dominique Martinet, Vicenç Beltran Querol, and Yutaka Ishikawa
On the Applicability of PEBS based Online Memory Access Tracking for Heterogeneous Memory Management at Scale
Publication in Proceedings of MCHPC'18: Workshop on Memory Centric High Performance Computing, 2018, Dallas

G. Cavallaro, V. Kozlov, M. Götz, M. Riedel
Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU DEEP Learning Systems
Publication in Conference proceedings of 2019 conference on Big Data from Space (BiDS’19), Germany

S. Krieg, T. Luu, J. Ostmeyer, P.  Papaphilippou, C. Urbach
Accelerating Hybrid Monte Carlo simulations of the Hubbard model on the hexagonal lattice
Article in Journal "Computer physics communications", 2019, Netherlands

A. Jokanovic, M. D'Amico , J. Corbalan
Evaluating SLURM simulator with real-machine; SLURM and vice versa
Publication in Conference proceedings of the IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), 2018, Dallas

Diego Gonzalez-Herrero, Elisabetta Boella, Giovanni Lapenta
Performance analysis and implementation details of the Energy Conserving Semi-Implicit Method code (ECsim)

Publication in Computer Physics Communications Volume 229, August 2018, Pages 162-169

A. Kreuzer, N. Eicker, J. Amaya, E. Suarez
Application performance on a Cluster-Booster system
 in Conference proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2018, Vancouver

John W. Romein and Bram Veenboer
PowerSensor 2: a Fast Power Measurement Tool 
Publication in Conference proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2018, Belfast

E. Suarez, N. Eicker, Th. Lippert
Supercomputer Evolution at JSC
 in John von Neumann Institute for Computing, Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series, 49, 1 - 12, 2018, Jülich

R. Pauli, P. Weidel, S. Kunkel, A. Morrison
Reproducing polychronization: a guide to maximizing the reproducibility of spiking network models
Article in Journal "Frontiers in Neuroinformatics", 2018, Switzerland

L. Bautista Gomez, K. Keller, O. Unsal
Performance study of non-volatile memories on a high-end supercomputer
Publication in Conference Proceedings of the High Performance Computing - ISC High Performance International Workshops, Frankfurt/Main, Germany, June 28, 2018, Cham

A. Kreuzer, N. Eicker, J. Amaya, R. Léger, E. Suarez
The DEEP-ER project: I/O and resiliency extensions for the Cluster-Booster architecture
Publication in conference proceedings of the 20th International Conference on High Performance Computing and Communications (HPCC), June 2018, Exeter

E. Erlingsson, G. Cavallaro, M. Riedel, H. Neukirchen
Scaling DBSCAN towards exascale computing for clustering of big data sets
European Geosciences Union (EGU) General Assembly 2018, April 8-13, 2018, Vienna, Austria 

E. Erlingsson
Enhancing Deep Learning towards Exascale with the DEEP-EST Modular Supercomputer Architecture
Poster and lightning talk at the 5th Exascale Applications and Software Conference (EASC 2018), 17-19 April, 2018, Edinburgh, Scotland 

E. Erlingsson, G. Cavallaro, A. Galonska, M. Riedel, H. Neukirchen
Modular Supercomputing Design supporting Machine Learning Applications
Talk and full paper at the 41st International
Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2018), May 21-25, 2018, Opatija/Abbazia, Croatia

E. Erlingsson, G. Cavallaro, M. Riedel, H. Neukirchen
Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images
Talk and short paper at IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 23-27 2018, Valencia, Spain

J. Lange, G. Cavallaro, M. Götz, E. Erlingsson, M. Riedel
The influence of sampling methods on pixel-wise hyperspectral image classificat ion with 3D convolutional
Talk and short paper at IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 23-27 2018, Valencia, Spain

V. Khristenko
HEP Data Processing with Apache Spark
Presentation at the CERN Hadoop User Forum

E. Suarez
The DEEP/-ER architecture: a modular approach to extreme-scale computing
Presentation at E-CAM Workshop, Barcelona, Spain