Publications
This page gives an overview on all academic publications related to the DEEP projects.
The Scientific Case for Brain Simulations
Modular Supercomputing Architecture: from idea to production
Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU DEEP Learning Systems
Accelerating Hybrid Monte Carlo simulations of the Hubbard model on the hexagonal lattice
On the Applicability of PEBS based Online Memory Access Tracking for Heterogeneous Memory Management at Scale
Supporting Software Engineering Practices in the Development of Data-Intensive HPC Applications with the JuML Framework
Evaluating SLURM simulator with real-machine; SLURM and vice versa
Enhancing Remote Sensing Applications towards Exascale with the DEEP-EST Modular Supercomputer Architecture
Reproducing polychronization: a guide to maximizing the reproducibility of spiking network models
The influence of sampling methods on pixel-wise hyperspectral image classificat ion with 3D convolutional
Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images
Application performance on a Cluster-Booster system
Performance study of non-volatile memories on a high-end supercomputer
The DEEP-ER project: I/O and resiliency extensions for the Cluster-Booster architecture
Modular Supercomputing Design supporting Machine Learning Applications
Enhancing Deep Learning towards Exascale with the DEEP-EST Modular Supercomputer Architecture
Scaling DBSCAN towards exascale computing for clustering of big data sets
PowerSensor 2: a Fast Power Measurement Tool
Supercomputer Evolution at JSC
Performance analysis and implementation details of the Energy Conserving Semi-Implicit Method Code (ECsim)
